Annual Report 2014_revised2 [ X086740 ]

Transcription

1|
ANNUAL REPORT 2014
Department of Signal Processing
Department of Signal Processing 2
Annual report 2014
TABLE OF CONTENTS
GREETING FROM THE HEAD OF THE DEPARTMENT .................................................................................................4
PERSONNEL...............................................................................................................................................................6
EDUCATION ..............................................................................................................................................................9
COURSES ................................................................................................................................................................ 10
DOCTORAL THESES ................................................................................................................................................ 12
LICENTIATES OF TEHNOLOGY ................................................................................................................................ 12
MASTER'S THESES .................................................................................................................................................. 13
BACHELOR’S DEGREES ........................................................................................................................................... 14
RESEARCH .............................................................................................................................................................. 15
RESEARCH GROUPS ............................................................................................................................................... 16
Audio Research .................................................................................................................................................. 16
Multimedia Research......................................................................................................................................... 17
Computational Systems Biology ........................................................................................................................ 18
Sleep and Sensory Signal Analysis ..................................................................................................................... 19
Multimedia and Data Mining............................................................................................................................. 20
Laboratory of Biosystem Dynamics ................................................................................................................... 21
Molecular Signaling Lab ..................................................................................................................................... 22
Personal Health Informatics .............................................................................................................................. 23
Computational Imaging ..................................................................................................................................... 24
3D Media Group ................................................................................................................................................ 25
Signal and Image Restoration Group ................................................................................................................. 26
Computer Vision Group ..................................................................................................................................... 27
Signal Interpretation and Compression............................................................................................................. 28
Computational Neuroscience ............................................................................................................................ 29
Methods and Models for Biological Signals and Images ................................................................................... 30
PUBLICATIONS ....................................................................................................................................................... 32
Refereed Articles ............................................................................................................................................... 32
Refereed conference articles............................................................................................................................. 37
Other publications ............................................................................................................................................. 46
Presentations ..................................................................................................................................................... 47
3|
Editor and review duties.................................................................................................................................... 49
Examiners/Opponents of Dissertations............................................................................................................. 52
Expert Reports ................................................................................................................................................... 53
Conference Workshop/Session Chair ................................................................................................................ 54
Reviewer of Conference Articles ....................................................................................................................... 55
Annual report 2014
GREETINGS FROM THE HEAD OF THE DEPARTMENT
During the year of 2014, many new activities were
introduced. At the university level, it was initiated the
fusion of Tampere University, Tampere University of
Technology, and Tampere University of Applied
Sciences (T3 process) and the organization was
reformed once again. . At the Department level, one
tenure Track application round was completed, and all
the ordinary tasks were performed.
The administrative organization changed. All our
administrative crew, namely, the Development Manager,
Laboratory Manager, and Office Secretaries were
allocated under the Support Services, although their
offices remained the same. Our Office Secretary
Susanna Anttila moved to another position. I thank her
for the fine service she offered us. I also welcome the
new Office Assistant, Mari Mutila. She is partly working
with us and partly working with the Department of
Electronics and Communications Engineering .
During the spring of 2014, Tampere University, Tampere
University of Technology, and Tampere University of
Applied Sciences, invited experienced industry executive
Stig Gustavsson to identify how these organisations
could collaborate more closely. Gustavsson presented
his report to the boards of these organisations in the
beginning of autumn. In October, all three organisations
published a bulletin reporting the desire to investigate
whether it is possible to create a new, single university in
Tampere by merging the three existing ones.
In the end of October, the presidents of these
organisations nominated one vice president from each
organisation to lead the process. In the end of
November, the working group formed by the vice
presidents nominated three working groups to prepare
collaboration proposals in their fields, as a part of the
global collaborative process. These working groups will
report on how to continue the process to the presidents
of the organisations by 15.5.2015.
The annual strategy process continued. It required
several discussions and work, especially regarding the
T3 process. Following that discussion, it was decised
that the main scientific goal in the Department will
remain to be the development of methods for interpreting
and processing signals, largely based on the study of
how Nature processes signals. Our three active research
fields are “Signal and Information processing”,
“Information Technology for Biology and Health”, and
“Intelligence in Machines”. We have expected 3-4 new
Tenure Track positions during 2014-2016. Two positions
such positions were filled during 2014. Namely, Dr.Tech.
Tuomas Virtanen and Ph.D. Frank Emmert-Streib
obtained a Tenure Track Associate Professor position.
There are only two degree programs in the Faculty of
Computing and Electrical Engineering. The programs
are Information Technology and Electrical Engineering.
Students must first complete a broad Bachelor’s Degree
Programme in Information Technology and Electrical
Engineering. After completing this programme, students
continue their studies towards a master’s degree in
either the MSc Programme in Information Technology or
in the MSc Programme in Electrical Engineering. Our
Department offers two focus areas in the field of
Information Technology. The focus areas are “Signal
Processing” and the new “Data Engineering”.
Keeping with its tradition, the Department contributed
heavily to the doctorate degrees in TUT by graduating
14 Doctors of Technology and one Licentiate degree in
2014. The number of Master’s Degrees was 15 and the
number of Bachelor’s Degrees was 8.
The Federation of Finnish Learned Societies completed
the Publication Forum Project (Jufo), an the initiative of
the Universities of Finland UNIFI proposed in 2011. The
aim was to create a system in which the activities of
scientific publications can be evaluated on the basis of
both quality as well as quantity. The rating has three
levels: 1 = basic; 2 = leading; 3 = top. This grading is an
important, quantitative measure to compare universities
and departments. Our Department published 43 articles
at JuFo levels 2 and 3 and 135 at Jufo level 1. Besides
these, we produced 39 other international publications.
5|
We were also active in obtaining new project funds.
Likely the most notable was the ERC grant obtained by
Tuomas Virtanen. It was the second ERC grant ever
obtained by TUT.
We had three visiting FiDiPro professors (Finnish
Distinguished Program) financed by The Finnish Funding
Finally, I would like to thank all our students and
researchers for their efforts and accomplishments our
professors and staff for their hard work, tolerance and
patience, and most of all, our faculty for their genuine
dedication to their research, to their students and to the
Department.
Agency for Technology and Innovation, TEKES.
Professor Ilkka Korhonen is the coordinator of two such
FiDiPro projects, of professors Jimison and Pavel.
Professor Ulla Ruotsalainen is the coordinator of the
project responsible for the FiDiPro Professor Novac,
together with the University of Jyväskylä.
The Department coordinated the National Node for
International Neuroinformatics (INCF), thus playing a key
role in this important research field, nationally and
internationally.
Professor Ulla Ruotsalainen was nominated Vice
President of the University, starting January 2015. Due
to this, she will be the main responsible for the
University’s research and doctoral education activities.
The Department of Signal Processing has been amongst
the most productive and efficient Departments of the
University. Besides the high productivity, the well-being
of the personnel is also relatively high, although there
have been significant changes in our organization and
modes of operation. This well-being was (once again)
confirmed by the personnel survey in 2013. The work to
improve the well-being further continued during 2014,
based on the information provided by the survey.
Ari Visa, Head of the Department of Signal Processing
Annual report 2014
PERSONNEL
Professors
Academy Research Fellows
Visa Ari, Head of the Department,
(Multimedia Data Mining)
Foi Alessandro
Tohka Jussi
Virtanen Tuomas
Gotchev Atanas
Defee Ireneusz, Vice Head of the Department
(Networked Multimedia Systems)
Astola Jaakko (Algebraic and Algorithmic Methods in
Signal Processing)
Docentships / Adjunct Professors
Ruotsalainen Ulla, Dean (Methods and Models for
Biological Signals and Images)
Foi Alessandro
Gotchev Atanas
Kandhavelu Meenakshisundaram
Linne Marja-Leena
Mattila Ville-Veikko
Niiranen Samuli
Nykter Matti
Ribeiro Andre
Stankovich Radomir
Sysi-Aho Marko
Tohka Jussi
Virtanen Tuomas
Voipio Ville
Saramäki Tapio (Filterbanks)
Senior Research Fellows / Research Fellows
Tabus Ioan (Signal Interpretation and Compression)
Ahmad Iftikhar
Autio Reija
Bregovic Robert
Dumitrescu Bogdan
Granberg Kirsi
Guldogan Esin
Katkovnik Vladimir
Lackner Kristof
Kovacs Peter
Lackner Kristof
Linne Marja-Leena
Manninen Tiina
Moriya Toshio
Nykter Matti
Pertilä Pasi
Ruusuvuori Pekka
Stankovic Radomir
Kivinummi Kati
Vihonen Juho
Yli-Hietanen Jari
Egiazarian Karen (Computational Imaging)
Gabbouj Moncef, Academy Professor (Video)
Kiranyaz Serkan (Content-based Multimedia Indexing
and Retrieval Framework)
Korhonen Ilkka (Personal Health Informatics)
Yli-Harja Olli (Computational Systems Biology)
Professors (Tenure Track)
Klapuri Anssi, Associate Professor
Kämäräinen Joni, Associate Professor
Gotchev Atanas, Associate Professor
Ribeiro Andre, Assistant Professor
FiDiPro Professors
Jimison Holly
Pavel Michael
Zhang Wei
Teaching Faculty
Värri Alpo, Associate Professor
Huttunen Heikki, University Lecturer
Mahkonen Katariina, Teaching Associate
Pajula Juha, Teaching Associate
Peltonen Sari, University Lecturer
Kandhavelu Meenakshisundaram, Research Fellow
Silen Hanna, Teaching Associate
Administration
Ruotsalainen Pirkko, Development Manager
Peltonen Juha, Laboratory Manager
Anttila Susanna, Office Secretary
Larmila Virve, Financial Secretary
Pernu Johanna, Financial Secretary
Rotola-Pukkila Noora, Office Secretary
7|
Researchers
Abdullah Waqas
Acar Erman
Aflaki Beni Payman
Aminlou Alireza
Annala Matti
Astola Helena
Astola Pekka
Aytekin Caglar
Azzari Lucio
Barker Thomas
Belyaev Evgeny
Birinci Murat
Boev Atanas
Bugdayci Döne
Cao Guanqun
Chandraseelan Jerome
Chen Ke
Chuchvara Aleksandra
Cortes Reina Santiago
Cricri Francesco
Diment Aleksandr
Fu Junsheng
Garimella Rama Murthy
Georgiev Mihail
Gupta Abhishekh
Havela Riikka
Heittola Toni
Helander Elina
Hiekkanen Antti
Homayouni Maryam
Honko Harri
Hukkanen Jenni
Hurmalainen Antti
Häkkinen Antti
Hämäläinen Pasi
Ince Turker
Jimison Holly Brugge
Jin Lina
Joachimiak Michal
Jylhä Juha
Kandavalli Vinodh Kumar
Kerminen Riitta
Koivuluoma Mikko
Kong Lingjia
Larjo Antti
Lehtivaara Maria
Lihavainen Eero
Lloyd-Price Jason
Maggioni Matteo
Mahkonen Katariina
Makkonen Jarmo
Manninen Tapio
Mehta Rakesh
Mesaros Annamaria
Mikkola Hannu
Molchanov Pavlo
Moreira Goncalves Nadia
Muthukrishnan Anantha Barathi
Muttilainen Lasse
Mäkelä Jarno
Mäkitalo Markku
Neeli Venkata Ramakanth
Nieminen Hannu
Nihtilä Tomi
Nikunen Joonas
Nurminen Jani
Onose Alexandru
Ozan Ezgi
Pajula Juha
Parak Jakub
Parviainen Mikko
Pepe Antonietta
Perälä Henna
Raitoharju Jenni
Rantapero Tommi
Roininen Mikko
Ruotsalainen Marja
Sahin Erdem
Samiee Kaveh
Sarbu Septima
Schiopu Ionut
Smirnov Sergey
Suominen Olli
Us Defne
Vad Viktor
Vagharshakyan Suren
Vainio Janne
Väilä Minna
Väisänen Ville
Xiao Jimin
Ylipää Antti
Research Assistants
Abbaszadeh Zhara
Afyounian Ebrahim
Annala Matti
Annila Teppo
Anufrieva Olga
Abbaszadeh Zhara
Babahajiani Pouria
Bhattacharya Sounak
Cakir Emre
Chuchvara Aleksandra
Cortes Reina Santiago
Cristovao Andre
Diment Aleksandr
Durmush Ahmed Mustafa
Efimushkina Tatiana
Faisal Muhammad
Gencoglu Oguzhan
Haavikko Aleksi
Hakulinen Esa
Hassan Sakira
Heino Lauri
Helin Petri
Hietanen Antti
Huttunen Riku
Häyrynen Sergei
Ihsan Kashif
Järvinen Joona
Kart Ugur
Kicanaogly Berkay
Kinnunen Nyyti
Koivula Ari
Lehmusvaara Johannes
Lehtimäki Mikko
Leinonen Lauri
Liimatainen Kaisa
Liuksiala Thomas
Lukkala Jyri
Annual report 2014
Luoto Suvi
Martikainen Antti
Mattila Matti
Moradi Elaheh
Moreno Galera Amalia
Naghdi Sharareh
Nazari Farsani Sanaz
Oikari Axel
Oliveira Samuel
Orava Antti
Pietilä Julia
Räsänen Simo
Saarimäki Ansse Salomon
Saksena Raj Suthanshu
Sala Adrien
Sanjeev P.C.
Seppälä Janne
Serova Tatiana
Scherban Anastasia
Scherban Maria
Shetty Ranjeeth Ravindra
Shoaib Muhammad
Shokrollahi Yanceshmeh Fateme
Silva Joao
Soininen Tero
Sorsa Liisa-Ida
Sreedhar Kashyap
Subedi Bishwa Prasad
Tabus Vlad
Tang Qi
Terho Henri
Tikkanen Tuomas
Tinakari Aki
Tran Huy
Tuunanen Tuomo
Valkonen Masi
Wang Chun
Waris Muhammad Adee
Vartiainen Teemu
Vataja Mikko
Viitanen Marko
Wiswanathan Anisha
Ylipää Salla
Yuzuguzel Hidir
Zabihi Morteza
Zare Alireza
Zedda Tiziana
Zhao Shuyang
9|
EDUCATION
The Department of Signal Processing provides
education at undergraduate and graduate levels,
aiming at the degrees of Bachelor of Science
(B.Sc.), Master of Science (M.Sc.), Licentiate of
Technology (Lic.Tech.) and Doctor of Technology
(Dr.Tech.). All but the B.Sc. degree are also
available to international students.
M.Sc. coursework consists of one of these major
modules, combined with a minor module (which
can be from another department), a basic module
common to the faculty (15 ECTS credits), an
elective module (20 ECTS credits). Finally, an
M.Sc. thesis (30 ECTS credits) completes the
M.Sc. degree.
Courses in 2014 followed the course structure
newly established in 2013, though a new major
module, Data Engineering, has been created to
respond to the need for graduates with an
understanding of data science, big data and
related topics.
Three doctoral-level seminar courses are
available for post-graduate students heading for
the Dr.Tech., Ph.D. or Lic. Tech. degrees. Some
of the M.Sc. courses are also accepted in the
doctoral major module consisting of a minimum of
25 ECTS credits.
The B.Sc. major in Signal Processing consists of
four lecture courses (with exercises) covering
basic signal, image, video, and audio signal
processing and pattern recognition. The students
apply their acquired skills in the laboratory course
and their final B.Sc. project. The size of the
module is a minimum of 25 ECTS credits plus 8
ECTS credits for the final project.
The figure below shows the recent academic
results of the Department. In 2014, a relatively
low number of M.Sc. theses were published (15),
likely due to the exceptionally high number
published in 2013 (31). Similarly, the total amount
of course credits given also decreased in 2014.
Our M.Sc. students continued to come from our
own B.Sc. students (8) and from the international
study program (7). The number of graduating
doctors in 2014 remained strong at 14, regardless
of the decrease of national funds for postgraduate studies.
Most courses (34) in the Department are targeted
towards M.Sc. students. These are grouped under
the major modules (minimum of 30 ECTS credits)
Signal Processing, Data Engineering and
Information Technology for Health and Biology,
and minor modules (minimum of 25 ECTS credits)
Computational Biology, Health Informatics and
Learning and Intelligent Systems. Following the
instructions of the university administration, half of
the courses in the major modules are compulsory,
while the other half are elective. The Department’s
courses ranked above the university average
based on student feedback statistics.
Annual report 2014
COURSES
Spring 2014
SGN-50006
Introduction to Information Technology
for Health and Biology, 3 cr,
SGN-13006
Introduction to Pattern Recognition and
Machine Learning, 5 cr, Kämäräinen
Joni
SGN-23006
Advanced Filter Design, 5 cr, Saramäki
Tapio
SGN-21006
Advanced Signal Processing, 5 cr,
Tabus Ioan
SGN-26006
Advanced Signal Processing
Laboratory, 5 cr, Mahkonen Katariina
SGN-84006
Introduction to Scientific Computing
with Matlab, 3 cr, Niemi Jari
SGN-14006
Audio and Speech Processing, 5 cr,
Klapuri Anssi
SGN-13000
Johdatus hahmontunnistukseen ja
koneoppimiseen, 5 cr, Kämäräinen
Jouni
SGN-12006
Basic Course in Image and video
Processing, 5 cr, Karanyaz Serkan
SGN-43006
Knowledge Mining and Big Data, 5 cr,
Visa Ari
Basic Cource in Signal Processing, 5
cr, Gotchev Atanas
SGN-12000
Kuvan- ja videonkäsittelyn perusteet, 5
cr, Peltonen Sari
Biology of the Cell, 3 cr, Kandhavelu
Meenakshisundaram
SGN-56006
Laboratory course in Information
Technology for Health and Biology, 5 cr
Koivuluoma Mikko
SGN-11006
SGN-51006
SGN-53206
Cell Culting, Microscopy and Cell
Image Analysis, 3 cr, Ribeiro Andre
SGN-42006
Machine Learning, 5 cr, Visa Ari
SGN-53006
Computational Modeling in Biomedical
Problems, 5 cr, Ribeiro Andre
SGN-52406
Models of Gene Networks, 3 cr, Ribeiro
Andre
External Network Course in Signal
Processing, 1-8 cr, Defee Ireneusz
SGN-80000
Graduate Seminar on Signal
Processing for Systems Biology, 2-6 cr,
Ribeiro Andre
Signaalinkäsittelyn
kandidaattiseminaari, 0 cr, Huttunen
Heikki, Silen Hanna
SGN-90006
Signal Processing Doctoral Seminar, 28 cr, Equiazarian Karen, Ruotsalainen
Ulla, Tabus Ioan, Tohka Jussi, Visa Ari
SGN-81006
Signal Processing Innovation Project,
5-8 cr, Defee Ireneusz, Peltonen Sari
SGN-33006
Video Compression, 5 cr, Curcio Igor
SGN-83006
SGN-95006
SGN-57006
Health Care Processes and Systems, 3
cr, Saranummi Niilo
SGN-57206
Health Information Systems, 5 cr,
Saranummi Niilo
SGN-51506
Human Visual System, 5 cr, Forsvik
Heikki, Voipio Ville
11|
Autumn 2014
SGN-26006
Advanced Signal Processing
Laboratory, 5 cr, Mahkonen Katariina
SGN-35006
Media Services, 5 cr, Defee Ireneusz,
Pajula Juha
SGN-52606
Processing of Biosignals, 5 cr,
Koivuluoma Mikko
SGN-80000
Signaalinkäsittelyn
kandidaattiseminaari, 0 cr, Huttunen
Heikki
SGN-24006
Analysis of Audio, Speech and Music
Signals, 5 cr, Klapuri Anssi
SGN-16006
Bachelor’s Laboratory Course in Signal
Processing, 5 cr, Silen Hanna
SGN-53606
Compurational Models in Complex
Systems, 5 cr, Ribeiro Andre
SGN-11000
Signaalinkäsittelyn perusteet, 5 cr,
Huttunen Heikki
SGN-53406
High-throughput Data Analysis, 5 cr,
Kesseli Juha
SGN-22006
Signal Compression, 5 cr, Tabus Ioan
SGN-41006
Signal Interpretation Methods, 4 cr,
Niemi Jari
SGN-81006
Signal Processing Innovation Project,
5-8 cr, Defee Ireneusz, Peltonen Sari
SGN-57406
Standards, Interoperability and
Regulations in Health Informatics, 5 cr,
Värri Alpo
SGN-53806
Techiniques in Molecular Bology and
Applications to Gene Expression, 3 cr,
Ribeiro Andre
SGN-31006
Image and Video Processing
Techniques, 6 cr, Gotchev Atanas,
SGN-55006
Introduction to Medical Image
Processing, 5 cr, Ruotsalainen Ulla
SGN-54006
Introduction to Neuroinformatics, 5 cr,
linne Marja-Leena
SGN-13006
Introduction to Pattern Recognition and
Machine Lear, 5 cr, Niemi Jari
SGN-56006
Laboratory course in Information
Technology for Health and Biology, 5
cr, Koivuluoma Mikko, Korhonen Ilkka,
Liimatainen Kaisa, Ribeiro Andre, YliHarja Olli
Annual report 2014
DOCTORAL THESES
Manninen Tapio, 31.01.2014,
Predictive Modeling Using Sparse Logistic Regression
with Applications, Supervisor: Huttunen Heikki, Visa Ari
Seppälä Jenni, 21.02.2014,
Application of Computational Methods for Fermentative
Hydrogen Production, Supervisor: Yli-Harja Olli
Tuna Uygar, 11.04.2014,
Tomographic Image Reconstruction with Incomplete
projection Data, Supervisor: Ruotsalainen Ulla,
Peltonen Sari
Onose Alexandru, 13.05.2014,
Greedy Adaptive Algorithms for Sparse
Representations,
Supervisor: Ioan Tabus
Cricri Francesco , 16.05.2014,
Multimodal Analysis of Mobile Videos, Supervisor:
Gabbouj Moncef
Kaipainen Kirsikka, 16.05.2014,
Design and Evaluation of Online and Mobile
Applications for Stress Management and Healthy
Eating, Supervisor: Korhonen Ilkka
Forma Jussi, 17.04.2014,
Regional Characterization of Recontruction Noise in
Maximum Likelihood Estimates in Static and Dynamic
PET: Towards Quantitative Tissue Heterogneity
Studies,
Supervisor: Ruotsalainen Ulla
Uhlmann Stefan, 01.09.2014,
Advanced Techniques for Classification of Polarimetric
Synthetic Aperture Radar Data, Supervisor: Kiranyaz
Serkan, Gabbouj Moncef
Farhan Muhammad, 23.04.2014,
Image Analysis and Statistical Modeling for Applications
in Cytometry and Bioprocess Control, Supervisor: YliHarja Olli
Muthukrishnan Anantha, 16.09.2014,
Studies of the Plasticity of Transcription in Escherichia
coli using Single-Molecule, in vivo Detection
Techniques,
Supervisor: Ribeiro Andre
Pepe Antonietta, 25.04.2014,
Statistical Shape Analysis in Neuroimaging: Methods,
Chanllenges, Validation -Applications to the Study of
Brain Asymmetries in Schizophrenia, Supervisor:
Ruotsalainen Ulla, Tohka Jussi
Hurmalainen Antti, 09.10.2014,
Robust Speech recognition with Spectogram
Factorisation,
Supervisor: Virtanen Tuomas
Kong Lingjia, 05.05.2014,
Bioinformatic Approaches for Intergration of HighThroughput Transcriptomic Data, Supervisor: Yli-Harja
Olli
LICENTIATES OF TECHNOLOGY
Kerminen Riitta, 03.09.2014,
Classification of High Range Resolution Radar Profiles,
Supervisor: Visa Ari
Molchanov Pavlo, 20.10.2014,
Radar Target Classification by Micro-Doppler
Contributions,
Supervisor: Eqiazarian Karen
13|
MASTER’S THESES
Mieskolainen Matti, 15.01.2014,
Bayesian Classification of Hadronic Difraction in the
Collider Detector at Fermilab
Supervisor: Ruotsalainen Ulla
Forsssel Vili, 05.02.2014,
Heart Rate Recognition Algorithm in a Memory
Constrained Embedded Device
Supervisor: Värri Alpo
Gencoglu Oguzhan, 05.02.2014,
Acoustic Event Classification Using Deep Neural
Networks
Laine Markus, 05.02.2014,
Evaluation of Focus Curves Based on Goodness
Criteria,
Supervisor: Huttunen Heikki
Kustaanheimo Simo, 05.03.2014,
User Interface Tecnologies in Patien Monitors,
Supervisor: Värri Alpo, Järvinen Hannu-Matti
Moradi Soudabeh, 05.03.2014
Front-Eng Data Processing of New Positron Emission
Tomography Demonstrator
Supervisor: Ruotsalainen Ulla, Defne Us
Navarro Lou Samuel, 09.04.2015
Automatic Conversion of Emotions in Speech within a
Speaker Independent Framework
Supervisor: Gabbouj Moncef
Sanches Gasulla, 09.04.2015,
Prosody and Wavelets: Toward a Natural Speaking
Style Conversion
Zhao Shuyang, 09.04.2014
A Personalized Hybrid Music Recommander Based on
Estimation of User-Timbre Preference
Supervisor: Virtanen Tuomas, Klapuri Anssi
Waris Muhammad, 05.05.2014,
No Intruders – Securing Face Biometric Systems from
Spoofing Attacks
Frommelt Cynthia, 04.06.2014,
Biobanking and Support for Personalized Medicine: A
Model for Success
Supervisor: Korhonen Ilkka
Kart Ugur, 04.06.2014
Image Classification in Fashion Domain
Supervisor: Kiranyaz Serkan
Kytölö Ville, 04.06.2014
Computational Prediction of Prostate Cancer Specific
Gene Regulatory Network
Supervisor: Yli-Harja Olli
Fröhling Ingo, 13.08.2014,
Development of a Framework for a Java-Based Signal
Processing E-learning Platform,
Supervisor: Defee Irek
Subedi Bishwa, 13.08.2014,
Audio-Based Retrieval of Musical Score Data,
Supervisor: Klapuri Anssi
Hakulinen Esa-Pekka, 03.09.2014,
Linja-autoista kerättävälle avoimelle datalle soveltuva
tietorakenne,
Supervisor: Visa Ari
Oliveira Samuel, 08.10.2014,
In Vivo Single-Cell Kinetics of Repressilator as a
Function of Its Intracellular Copy,
Supervisor: Ribeiro Andre
Xie Weiyi, 08.10.2014,
Incremental Learning in Support Vector Machines and
Applications to Content-Based Image Retrieval,
Cakir Emre, 03.12.2014
Multilabel Sound Event Classification with Neural
Networks,
Guo Yu, 03.12.2014,
3D Graphics Platforms and Tools for Mobile
Appllications,
Supervisor: Defee Irek
Liimatainen Kaisa, 03.12.2014,
Automated Detection of Structures from Remote
Sensing Data,
Supervisor: Yli-Harja Olli
Tikkanen Tuomas, 03.12.2014,
Cell Detection from Microscope Images Using
Histogram of Oriented Gradient,
Supervisor: Huttunen Heikki, Ruusuvuori Pekka
Annual report 2014
BACHELOR’S DEGREES
Piililä Mauno, 14.02.2014
Mikrofonien paikan määritys diffuusin äänikentän avulla
Supervisor: Silen Hanna
Leinonen Lauri, 18.12.2014
Review on High Throughput Single-Nucleotide
Polymorphism Analysis Methods
Lehmusvaara Johannes, 02.06.2014,
Konvoluutioneuroverkot kirjain- ja numeromerkkien
tunnistuksessa
Teivas Ilkka, 18.12.2014
Jalankulkijan havaitseminen kuvasta
Forsvik Reetta, 18.12.2014,
Tietokonenäyttöjen mahdollisuudet näöntutkimuksessa
Vartiainen Teemu, 18.12.2014
Telemarketing Data Analysis and Predictive Modelling
Korhonen Janne, 18.12.2014,
JPEG- ja JPEG2000-kuvaformaattien laskennallinen
tarkastelu
Vuorinen Niko, 18.12.2014
Polkupyörien etsintä valokuvista käyttäen Latent SVMmenetelmää
15|
RESEARCH
The Department currently has 15 research
groups, which belong to three different research
fields, namely, Signal
and
Information
Processing, which has been an active area at the
Department for the longest time, Information
Technology for Biology and Health, and, more
recently, Intelligence in Machines. While the
latter became a key research field of the
Department more recently, it is worth noting that
the Department has been working in this area for
more than 10 years now. More details of the
research developed in these areas can be found
in the descriptions of the research groups.
Although the Department is also involved in
confidential research efforts with companies, its
main efforts are towards publishing research
results in international peer-reviewed journals.
Our staff members have authored and coauthored 80 peer-reviewed scientific journal
articles and 123 peer-reviewed conference papers
in 2014. The aim is to publish in the journals with
highest rankings in the Publication Forum
system of The Federation of Finnish Learned
Societies for scientific reasons, and as
encouraged by the University policies.
Members of the staff are often involved in the
organizing committees of scientific events. The
most important such event in 2014 was the 3DTV
Conference held in Budapest, Hungary. The
General Chair and other leading positions of this
conference were held by members of our staff.
Two other highlights of the year were the best
PhD award given by the Pattern Recognition
Society of Finland, which was received by Markku
Mäkitalo for his thesis Exact Unbiased Inverse of
the Anscombe Transformation and its PoissonGaussian Generalization, and the IBM Best
Student Paper Award given to the paper
Automatic Object Segmentation by Quantum Cuts
by Caglar Aytekin, Serkan Kiranyaz and Moncef
Gabbouj at the 22nd International Conference on
Pattern Recognition in August 2014. Finally, most
recently, the Rector has granted to A.B.
Muthukrishnan the award of Best PhD Thesis of
the University of 2014.
The Tampere International Center for Signal
Processing (TICSP) has been a part of the
Department for many years to facilitate
international researcher exchange. Every year
dozens of international specialists in Signal
Processing visit TICSP, lecture about their
research and collaborate with our staff members.
This activity was continued in 2014.
Annual report 2014
RESEARCH GROUPS
Audio Research
Virtanen Tuomas
The Audio Research Group led by Tuomas
Virtanen develops signal processing methods for
content analysis and intelligent processing of
audio, to enable new applications related to
speech, music, and environmental sounds. The
group consists of 16 members, of whom 3 are
senior researchers, 3 are post-docs, 7 are PhD
and 3 are MSc students. The group performs
basic research (projects funded by ERC and
Academy of Finland) as well as applied research
(projects that prepare the commercialization of
research findings). The group performs close
collaboration with the industry.
Sound source separation can be used to extract
the signal produced by an individual sound source
from a mixture signal consisting of several
sources, and it is important in enhancing the
signal of interest for human listeners or for
computational analysis. The group developed new
separation algorithms that produce state-of-the-art
separation quality in several new scenarios. For
example, one of the major problems in automatic
speech recognition is the sensitivity of recognizers
to interfering sounds, and the developed
algorithms were used to achieve state-of-the-art
accuracy in the recognition of noisy speech.
The most important research area of the group is
computational analysis of auditory scenes. Here,
the group developed novel deep neural network
based methods to accurately recognize sound
events related to human and animal activity,
environment, and machines. This is useful, e.g., in
content-based multimedia retrieval, context-aware
devices, and assistive technologies.
The spatial audio research team addressed selflocalization, speech enhancement, and speech
and audio separation using microphone arrays.
Novel methods were developed to locate
speakers from a set of mobile phones, and to
locate moving speakers with wearable devices
from microphone signals. Novel microphone
array-based techniques were developed to
separate the signals of multiple overlapping
speakers and noise. The developed technologies
can be utilized in communication devices to
reduce noise and reverberation, or in
computational analysis methods.
17|
Multimedia Research
Moncef Gabbouj
The Multimedia Research Group (MRG), led by
Academy of Finland Professor Moncef Gabbouj
and by Prof. Serkan Kiranyaz, focuses on
multimedia data processing and analysis and in
communications. The overall aim of the MRG is to
generate new knowledge and expand the current
frontiers in modern media technologies, including
Big Data, with special emphasis on audio-visual
data. The current activities of the MRG include
video communication, machine learning, contentbased media retrieval, biomedical signal
processing and computer vision.
Targeted application areas include media and
information technologies, audio-visual search
engines and health informatics.
During 2014, the MRG consisted of 27 PhD and
17 MSc students in addition to 4 postdocs and 3
visiting scholars. Since its start, up to December
of 2014, the MRG has published 2 books, 115
journal papers, 15 book chapters, and 446
conference papers. Also, the MRG has graduated
40 PhD students and over 60 MSc students.
Finally, the MRG has secured over 12.9 M Euro in
funding over the past 16 years, mainly from
industry, the Academy of Finland, TEKES and EU
funding agencies.
The MRG has achieved the 2nd and 4th places in
the Microsoft International Image Retrieval
Challenge in 2014 and the team’s Quantum Cuts
algorithm won the IBM Best Student Paper Award
at ICPR 2014. The group leader, Academy
Professor Gabbouj, was elected member of the
Academy Europaea and the Academy of Science
and Letters of Finland.
In 2014, the MRG focused on the following
research topics:
 Machine Learning for Big Multimedia Data
 Multidimensional Particle Swarm
Optimization for Machine Learning and
Pattern Recognition
 MSR-Bing Image Retrieval Challenge
 Noise-Robust Texture Description Using
Local Contrast Patterns via Global
Measures
 Integrating Color Features in Polarimetric
SAR Image Classification
 Social media, focusing on Sport Type
Classification of Mobile Videos
 2D and 3D Video compression, streaming and
processing
 Low-complexity bit-plane entropy coding
and rate control for 3-D DWT based video
coding
 An efficient adaptive binary arithmetic coder
with low memory requirement
 Low-Complexity Joint Source-Channel
Videoc oding for 3-D DWT Codec
 Subjective quality assessment of
asymmetric stereoscopic 3D video
 Simultaneous 2D and 3D perception for
stereoscopic displays based on polarized or
active shutter glasses
 Compression and Subjective Quality
Assessment of 3D Video
 Voice conversion, focusing on Speakerspecific compression retraining for unit
selection text-to-speech databases
 Speech parameterization for statistical
speech synthesis
 Speaker identity conversion for non-parallel
and cross-lingual data
Annual report 2014
Computational Systems Biology
Yli-Harja Olli
The Computational Systems Biology (CSB)
research group develops and applies modeling
and simulation tools to study complex biological
phenomena. The research team combines
experts from different fields - cell and molecular
biology, biotechnology, signal and image
processing, statistics, mathematics, and computer
science. The CSB is led by Professor Olli YliHarja, who is also an Affiliate Faculty member in
the Institute for Systems Biology, Seattle.
The CSB’s research is aimed at gaining systemslevel understanding of biological processes. This
is achieved by applying systematic computational
modeling approaches and novel measurement
techniques to biological processes, as well as
developing computational methods for the
analysis, interpretation, and integration of
biological data.
Our method development is based on a deep
understanding of mathematical models in
theoretical biology, which are rooted in complex
systems theory. One of our biggest achievements
in this field is the experimental verification of the
self-organized criticality in the regulatory systems
of yeast and mammalian cells (1,2).
Improved understanding of biological processes
has led to many remarkable achievements within
the CSB group. First, we have developed
computational methods and resources for stem
cell research for the ESTOOLS research
consortium (3,4). Second, we have developed
computational methods for large scale data
analysis for glioblastoma (5,6). Third, we have
created general methodology for the integration of
heterogeneous biological data sources in the
context of cancer (7). Fourth, we have developed
new computational methods for microscopy, for
validation purposes (8), and for the extraction of
single molecule events, in the context of
bacteriology (9, 10).
Our group has established a productive research
co-operation with several Finnish and foreign
groups and universities where our researchers
make frequent visits (in 2002-2011, approx. 28
person-years were spent in our collaborative
laboratories): The Institute for Systems Biology,
Seattle, WA, USA; The University of Texas M. D.
Anderson Cancer Center, Houston, TX, USA;
University of Calgary, AB, Canada; University of
British Columbia, Vancouver, BC, Canada;
University of Leipzig, Germany; University of
Luxembourg; University of Sheffield, UK; ETH
Zürich, Switzerland; University of Lisbon,
Portugal; Institute for Biomedical Technology,
Tampere,
Finland;
Turku
Centre
for
Biotechnology; Aalto University.
In addition to active researcher exchange, the
foreign collaboration is maintained by arranging
an annual international workshop since 2003, the
Workshop on Computational Systems Biology
(WCSB). The 2014 meeting was held in Lisbon,
Portugal.
The main industrial partners of our collaboration
network include Orion Pharma, Chip-Man
Technologies Ltd, CSC - IT Center for Science
Ltd, and Techila Technologies Ltd. There are also
three start-up companies where researchers from
the CSB group have a key role: DropAim Oy,
Euformatics Oy, and Quva Oy.
(1) Nykter et al., Proceedings of the National Academy
of Sciences USA, 105(6), 2008.
(2) Rämö et al., Journal of Theoretical Biology, 242,
May 2006.
(3) Kong et al., Nature Methods vol. 10(9), 2013.
(4) Närvä et al., Nature Biotechnology, 28(4), 2010.
(5) Parker et al., Journal of Clinical Investigation 123(2),
2013.
(6) Turner et al., Proceedings of the National Academy
of Sciences USA, to appear, 2015.
(7) Ylipää et al., BMC Systems Biology vol. 7, num.
Supplement 1, 1-12, 2013.
(8) Lehmussola et al., The Proceedings of the IEEE,
96(8):1348–1360, Aug 2008
(9) Lloyd-Price et al., Journal of Bacteriology,
194(7):1747–1752, 2012.
(10) Viswanathan et al., European Journal of
Pharmaceutical Sciences, vol. 66, 2015.
19|
Sleep and Sensory Signal Analysis
Värri Alpo
The mission of the Sleep and Sensory Signal
Analysis Group (SSSAG) is to promote health and
well-being by designing algorithms for analysing
signals measured from humans in various ways.
The group has a broad experience in analyzing
physiological
signals
recorded
in
sleep
laboratories such as EEG, EOG, EMG, ECG,
SpO2 etc., and has most recently analyzed
signals measuring the ballistocardiogram (BCG)
and the presence of a person with sensitive
movement sensors. The group was involved in a
physiological signal analysis project under a nondisclosure agreement in 2014. Additionally, the
group studied the sonification of EEG signals
during sleep. The goal of this work was to find a
way to present the result of an EEG-based sleep
study to laymen in an intuitive way.
Since 2009, Alpo Värri has been the convener of
the Working Group IV, Technology for
Interoperability of the Technical Committee Health
Informatics (TC251) of the European Committee
of Standardisation (CEN) and in the management
team of the TC251. The scope of WGIV covers
medical devices in hospitals, including imaging
devices, and devices in home care, including the
rapidly growing area of personal health devices.
The focus is on the information technology and on
the communication aspects of such devices. The
electrical safety issues are out of the scope, but
the issues relating to safe health software
continue to be of interest. Alpo Värri has been a
member of the following standard development
project teams ISO/IEC 82304-1: Health Software Part 1: General requirements for product safety
(new
standard),
EN
1064
Standard
Communications Protocol – Electrocardiography,
SCP-ECG (revision) and ISO/IEC 62304:2006 Medical device software - Software life cycle
processes (revision). In addition to these
international duties, Alpo Värri has been the
national representative of Finland in the medical
device communication standardization activities
and he has reported about this work actively.
More details about European health IT
standardisation.
Annual report 2014
Multimedia and Data Mining
Visa Ari
Professor
Visa
leads
a
multidisciplinary
multimedia and data mining (MMDM) group
(currently consisting of 1 Post-doc researcher, 8
PhD students and 1 MSc students), which has
conducted several successful pattern recognition,
data mining and signal processing projects with
specifically tailored solutions to meet the
industry’s needs. In particular, the group has
focused on various sensor systems operating on
the different portions of the electromagnetic
spectrum. The topics of the recent activities
include, for example:








radar target recognition,
algorithms and methods for coherent
imaging,
modeling, visualization and optimization
for sensor system operation and usage,
next generation magnetic induction based
security screening,
metadata-based clustering and retrieval of
shared multimedia,
open traffic data related to operating
environments and applications,
intelligent jet aircraft structural integrity
analysis and decision support and
sensor network-based real-time motion
state sensing and condition monitoring of
mobile heavy-duty machinery using the
principles of robotics and cost-efficient
"strap-down" sensors.
The work of the MMDM group can be
characterized as data-driven and it is focused on
developing effective methods and algorithms for
solving real-life multisensory signal and system
modeling, analysis and pattern recognition
problems. With recognized experience in
developing and applying digital signal processing
methods, the MMDM group’s experience with
multisensory data provides a solid foundation to
counter both scientific and practical challenges
when managing and mining large amounts of
digital information on-line or off-line is needed.
21|
Laboratory of Biosystem Dynamics
Sanches Ribeiro Andre
The Laboratory of Biosystem Dynamics (LBD)
studies
regulatory mechanisms
of
gene
expression dynamics in bacteria by using and
developing single-cell, single-molecule, in vivo
measurements, combined with state-of-the-art
signal and image processing techniques and
stochastic models and simulators of genetic
circuits. The LBD also studies the spatio-temporal
organization of intracellular molecules and
asymmetries in cell division, which are related to
cellular ageing. In addition, the group studies
synthetic genetic circuits using models and live,
single-cell measurements, as well as the large
scale network dynamics and information
propagation. Finally, to support these efforts, the
LBD develops software tools which implement
models and methods. Currently, the group
includes the PI, 12 Ph.D. students and 2 M.Sc.
students.
During 2014, the LBD was funded by the
Academy of Finland, the Portuguese Foundation
for Science and Technology, the Finnish Funding
Agency for Technology and Innovation (TEKES),
Tampere University of Technology (TUT),
Department of Signal Processing of TUT, Emil
Aaltonen Foundation, Doctoral Programme of
TUT's President, Finnish Cultural Foundation,
CIMO and Wihuri Foundation.
In 2014, the LBD published 7 articles in
international peer-reviewed journals, including
Bioinformatics, Biophysical Journal, Molecular
Systems Biology and Physical Biology, and 16
articles in international scientific conference
proceedings. Also, one Ph.D. thesis and one
M.Sc. thesis were completed. Finally, two
members of LBD were awarded by the
Department: a Scientific Achievement Award to A.
Häkkinen and an Award for Excellent Contribution
to Teaching and Education to J. Lloyd-Price. Also,
A.B. Muthukrishnan was awarded “Best PhD
Thesis” of Tampere University of Technology.
In 2014, our major findings are on how the
dynamics of genetic circuits and the numbers of
unwanted protein aggregates in cells are affected
by cell division and nucleoid occlusion. The
acquired knowledge will be of value to better
understand cellular aging in microbes, which is, in
some aspects, similar to that of mitochondria.
Annual report 2014
Molecular Signaling Lab
The Molecular Signaling Lab, led by Dr.
Meenakshisundaram
Kandhavelu,
Docent,
focuses on understanding intracellular molecular
signaling networks. These networks play a crucial
role in cell fate determination. Improper intra
and/or extracellular signal transduction affects
cells well-being and can lead to various diseases
such as cancer and neuronal diseases. We
investigate molecular signaling networks at the
single cell level, to identify canonical and noncanonical pathways involved in cell signaling and
cell fate. We are specifically interested in
understanding the role of extracellular signal
transmission, and how it interacts with internal
signaling networks and transcriptional regulators.
To understand and characterize cell signaling
mechanisms, the lab develops mammalian cell
segmentation tools to apply to confocal microcopy
images. This lab also utilizes high-throughput
transcriptomic measurement techniques such as
RNA-seq. Most importantly, from the time lapse
microscopy images analysis, the group has
reported the structural and functional changes of
drug-treated cancer cells, recently published in
Environmental Toxicology journal.
23|
Personal Health Informatics
Korhonen Ilkka
The PHI Group studies and develops solutions
which help people to better follow up their health
and wellness status and to detect and predict
changes. Research is done in close collaboration
with health care professionals, behavioral
scientists and companies. Our current research
focus is on utilizing the tools and methods of data
science for analyzing the health and wellness
status and its predicted evolution.
During 2014, the team produced 15 publications,
covering areas such as weight rhythms in selfweighing measurements, crowdsourcing for health
data and cross-sectional studies of physical
activity. One PhD and two MSc theses were
finalized. A total of 12 researchers worked in the
team. We hosted two visiting FiDiPro professors,
Holly Jimison and Misha Pavel. With them, we
focused on the development of computational
models of behaviors and behavioral changes and
on the application of these models in the health
and wellness areas, especially for health
coaching.
The team was involved in several national and
international projects. Digital Health Revolution
(DHR) is a TEKES-funded new strategic opening.
The project explores and combines health-related
big data from genomics to digital footprint,
supporting the emerging personalized healthcare
business. The PHI group leads in the project a
research theme aiming to open personal health
data to a user managed asset and to create a
health-related My Data architecture.
The Health Data Mining project aims to reveal
new information about the health behavior of the
working age population through retrospective
analysis of big data sets from a variety of health
data repositories owned by the participating
companies. The With-Me Artemis project builds
solutions for wellness coaching, enabling
seamless monitoring and persuasive guidance for
healthier behaviors. Meanwhile, the basic
research focused on user profiling, data
visualization and on the development and piloting
of a web-based coaching system. In the DIGILE
SHOK program we studied the semantic
Interoperability of Activity trackers by using W2E.
Annual report 2014
Computational Imaging
Eguiazarian Karen
Computational imaging is a modern research field
emerging at the intersection of traditional image
processing, machine vision, pattern recognition,
applied optics, photography, and perception, with
a primary goal of developing models and methods
(algorithms) that can improve the performance
(quality, efficiency) of existing imaging systems
and develop new systems and paradigms that can
enable imaging in situations where so far it has
been
unfeasible.
Computational
imaging
techniques
have
strong
foundations
in
mathematics, statistics, computer science,
physics, and mechatronics.
The group is specialized on various fundamental
and applied aspects of imaging, with particular
emphasis on computational methods that make
advanced digital imaging applications possible.
Originating from the previous Transforms and
Algebraic Methods Group, it complements it with
additional expertise in the fast evolving imaging
technologies, sharing the credo that transforms
play a central role in signal processing.
Broadly speaking, transforms comprise any
harmonic analysis applied to signals of interest.
Thus, our common approach is to achieve a
computationally viable synergy of abstract
mathematical constructions such as function
space bases, frames, function decompositions
and
projections,
with
their
practical
implementations through fast discrete structures.
Whithin the group, there are teams focusing on
particular topics of interest. The 3D Media Group
and the Signal and Image Restoration Group also
originated from the Computational Imaging Group.

Mobile Imaging team (lead by Prof
Karen Egiazarian)
Advanced image and video processing algorithms
for handheld devices.

Coherent Diffractive Imaging team
(lead by Prof Vladimir Katkovnik)
Advanced phase-retrieval methods for a variety of
optical systems.
The determination of the phase distribution of a
monochromatic coherent light wave ﬁeld is a
fundamental step in many applications in industry,
medicine and science, e.g. for shape and
deformation measurements down to a fraction of a
micron or absolute distance measurements on an
environmental
scale.
There
are
several
interferometric
and
non-interferometric
technologies for determining the complex
amplitude of a monochromatic light wavefront,
e.g. phase-shifting and off-axis digital holography.
Our work focuses on inverse variational phase
imaging, using the sparse approximations of the
coherent wave field for optimal image
reconstruction. The concept of sparsity is
developed in two modes: the phase and amplitude
sparsity, using real-valued sparse modelling
separately for phase and amplitude, and the
complex-valued sparsity, using the complexvalued sparse representations for the complex
amplitude of the coherent wave field. The
separate phase and amplitude modeling is
relevant to measurement and depth estimation
problems. The complex valued sparsity is mainly
used for wave field reconstruction. Sparse phase
and amplitude reconstruction (SPAR) algorithms
have been developed for both approaches. The
SPAR algorithms are iterative, use data adaptive
BM3D frames (real and complex-valued) for
corresponding sparse representations and take
into full consideration the noise distributions
(Gaussian or Poissonian). The SPAR algorithms
are developed as universal tools. Their efficiency
is demonstrated for a number of applications.
25|
3D Media Group
Gotchev Atanas
The 3D Media Group was founded in 2011,
originating from the Computational Imaging
Group. The group is driven by a motivation to
achieve higher realism in representing visual
scenes, to allow for better interactivity and to
deliver new forms of immersive communication.
The group consists of one associate professor,
two doctors, five researchers (doctoral students)
and three research assistants (M.Sc. students).
The group investigates methods for the capture,
processing and display of 3D visual data based on
extensive knowledge on the human perception of
depth and 3D visual cues. By employing
advanced signal processing methods, it tackles
specific problems related with the huge amount of
data to be processed and the optimal way of
visualization using state-of-the-art 3D displays.
The research has been conducted towards the
following directions: Multi-camera and multimodal 3D scene sensing: methods for real-time
depth estimation based on trinocular camera
topology, locally adaptive methods for disparity
estimation and refinement filtering employing
structural and color constraints from synchronized
color video streams, time-of-flight depth sensing
and depth data denoising, upsampling and fusion
for high-resolution 3D scene reconstruction. 3D
video quality of experience: modeling of the
visual perception of 3D artifacts and developing
feature-based algorithms for perceptual quality
evaluation of 3D video streams. Optimized
visualization for 3D and light-field displays:
measuring and modeling 3D video artifacts and
developing algorithms for their compensation
and/or mitigation, profiling and transform-domain
analysis of 3D and LF displays. Plenoptic
imaging: sparse and over-complete transformdomain modeling of light fields, high-resolution
light-field reconstruction from sparse camera
measurements.
The group has been setting up a research
infrastructure center, which is jointly funded by the
Academy of Finland and TUT for a total of 2 M€.
Titled Centre for Immersive Visual Technologies
(CIVIT), the centre provides research facilities in
the sectors of visual content creation, advanced
displays and user experience. Equipment includes
e.g. multi-camera systems, active and passive
range sensors; displays ranging from ultra-high
definition and high-dynamic range, through
stereoscopic and multi-view, to light-field and
holographic prototypes; high-precision high-speed
eye tracker and motion trackers.
Figure 1: Fusion of 2D color image with gray-scale
depth map for 3D scene reconstruction
Services
Users
Digital
holography
Advanced
visualisation
research
Scientific data
visualisation
Visual tech.
showcase
3D scene
reconstruction
Visual media
Optical display
measurements
Industrial
display
applications
Light field
sensing
Optical camera production
measurements
QoE of visual
technologies
UX in context
Evaluation in
context of use
MOS annotated
visual content
Motion
capture
Industrial
camera
applications
Motion analysis
for 3D games
International
standardization
Figure 2: Research Centre of Immersive Visual
Technologies (CIViT) concept
Annual report 2014
Signal and Image Restoration Group
Foi Alessandro
Imaging sensors provide the data at the center of
many technologies and products of scientific,
industrial, biomedical, as well as of consumer
significance. Yet, the data is invariably corrupted
by noise and other degradations. Our team is
specialized in the analysis, characterization,
transformation and filtering of such degradations.
On a broader perspective, our research aims at
developing theoretically grounded models,
methods
and
regularization
priors
for
unsupervised processing of data from a diverse
range of sensors, including direct, inverse, as well
as computational imaging systems, with the
ultimate goal of improving the sensing/imaging
quality and extending the applicability and
efficiency of the devices.
As applications of special interest, our
contributions have directly considered photonlimited imaging, magnetic resonance imaging,
LWIR
microbolometer
thermography,
reconstruction
from
incomplete
(sparse)
measurements,
such
as
limited-angled
tomography,
as
well
as
cross-modal
reconstruction from heterogeneous sensor arrays.
27|
Computer Vision Group
Kämäräinen Joni
Principal Investigators: Prof Joni-Kristian
Kämäräinen, Prof Irek Defee, University Lecturer
Heikki Huttunen
The Computer Vision Group investigates and
develops novel approaches and algorithms to
make machines, robots, devices and systems to
process and understand visual information (2D
and 3D images and video). Typical research
problems are, for example, object detection and
tracking, 3D reconstruction, and automatic video
editing.
Our research is funded by Academy of Finland,
European Commission, Finnish Funding Agency
for Technology and Innovation (Tekes), and
private companies. We collaborate actively with
other groups of the Department of Signal
Processing
and
Tampere
University
of
Technology, and with many national and
international research groups, institutes and
companies.
Annual report 2014
Signal Interpretation and Compression
Tabus Ioan, Astola Jaakko
The research team led by Professors Ioan Tabus
and Jaakko Astola has achieved notable results in
developing new methodologies and applications
based on information theoretic methods. It
introduced the normalized maximum likelihood for
the lossless compression of full genomes, with
results that have not been surpassed to date. In a
series of papers the group also introduced original
solutions to the entire lossless audio coding chain:
stereo prediction, optimization-quantization of
prediction coefficients, and context dependent
distributions for prediction in the decompanded
domain. The main achievement is the application
of the minimum description length (MDL) principle
to sparse modeling for lossless audio
compression, which led to the best trade-offs
between compression performance and decoding
speed for music files. In the field of lossy audio
coding, the group had joint research work with
Nokia research center, resulting in four patent
applications in the last four years. Recently the
group has developed state-of-the-art entropy
coding, lossless and lossy compression methods
for depth map image data.
The current research activity of the team is based
on developing and applying information theoretic
methodology in areas as diverse as sparse
modeling and system identification, image depth
map compression, analysis of medical images,
and sparse prediction for image compression and
analysis.
The research contributions by the group are
distributed along three axes: developing new
information theoretic modeling methodologies;
exploring the best model families for representing
various classes of signals (in both lossless and
lossy ways); and finally, using the developed
statistical models for extracting and identifying the
objects in the audio-visual scenes. The most
ambitious goal is to utilize powerful statistical
models, able to model and represent new classes
of signals in the most efficient ways, in order to
achieve state-of-the-art solutions for object
representation, extraction, and identification. The
group has a good tradition of cooperation with
industrial partners, e.g., Nokia, Patria Aviation Oy
Systems, and Atostek.
29|
Computational Neuroscience
Linne Marja-Leena
Computational Neuroscience Research Group
(CNS) develops mathematical and computational
models of the mammalian brain. The CNS group
is affiliated with BioMediTech at Tampere
University of Technology, as well as with the
European Institute for Theoretical Neuroscience
(EITN) in Paris, France. The group includes the
PI, one senior researcher, one postdoc, two Ph.D.
students and one M.Sc. student. The specific
aims of the CNS group are to build both
theoretical
and
computational
data-based
methods for modeling the behavior of neural
microcircuits, neural cells and cellular signaling.
Important topics include developing methods and
tools for assessing growth and structure-function
relationship in mammalian microcircuits in vitro, as
well
as
developing
biophysically
and
biochemically realistic models of plasticity and
learning in a variety of brain areas. In 2014, the
CNS research group was accepted in the EU FET
Flagship Human Brain Project (HBP) through a
competitive call (5% acceptance rate). In the HBP,
over 80 partner universities work together to
realize a new “ICT-accelerated” vision for brain
research and its applications. The goal of the HBP
is to make fundamental contributions to
neuroscience, to medicine and to future
computing technology. The CNS group is also
involved in coordinating neuroinformatics activities
in Finland, in collaboration with a larger
international organization called International
Neuroinformatics Coordination Facility (INCF).
nd
Activities in 2014 included organizing the 2
Baltic-Nordic Summer School in Neuroinformatics
(BNNI2014) in Tampere, which was attended by
27 students from all over the Europe. The leader
of the CNS group participated in the work of two
international training committees as an elected
member: The INCF Training Committee led by
Prof. David Willshaw and the FENS Committee of
Higher Education and Training led by Prof. Menno
Witter (FENS stands for Federation of European
Neuroscience Societies). Publications of the
research group can be found in our webpage.
Figure 1: Participants of the BNNI2014 summer school
in Tampere, Finland.
Figure 2: An illustration from Marja-Leena Linne, Tuula
O. Jalonen, Astrocyte–Neuron Interactions: From
Experimental Research-Based Models to Translational
Medicine, was selected as a cover page of the book
Progress in Molecular Biology and Translational
Science, vol. 123, Burlington: Academic Press, 2014,
pp. 191-217, Kim T. Blackwell, editor. Copyright © 2014
Elsevier Inc., Academic Press, Elsevier.
Annual report 2014
Methods and Models for Biological Signals and Images
Ruotsalainen Ulla
The M2oBSI group has been working with two
different projects: AvanTomography and NOVAC.
The AvanTomography project aims to construct a
PET demonstrator, based on the principle of Axial
PET (AX-PET) project developed by the AX-PET
research consortium in CERN. AX-PET design
consists of axially oriented scintillating crystals in
a staggered grid structure, interleaved by
wavelength shifter (WLS) strips. Each crystal and
wavelength shifter strip is individually read and
processed by multi-pixel photon counters (MPPC).
In the AvanTomography project, in addition to this
structure, all data is collected and stored in listmode on the computer. Trans-axial coordinate of
the gamma interaction point is acquired from the
scintillating crystals, whereas the z-axis is
determined by the WLS strips, which collect the
light emitted from the crystals.
In conventional PET devices, there is a trade-off
between sensitivity and resolution. With the
concept of axially oriented crystals and
orthogonally placed WLS strips, it is possible to
have a good resolution as well as high sensitivity,
since exact hit locations can be determined. Also,
it is possible to solve the so-called parallax error
caused by unknown depth of interaction in the
detector crystal. With the multilayer structure of
the axial type PET, this error can be avoided, and
the detectors can be brought near the object,
which increases the sensitivity of the photon
detection.
The AvanTomography project plans to provide a
modular and easily transformable PET scanner
structure in the market, allowing them to be used
in various applications ranging from scanning of a
wrist/arm to scanning of small animals. Also, the
sensitivity of the PET demonstrator can be
improved simply by adding more layers of
modules. TEKES TUTLI funding for this project
was provided until the end of December 2014,
after which the demonstrator was ready for
measurements with radioactive sources. Patent
application of the new detector structure was filed
in June 2014. A white paper about the
AvanTomography prototype was prepared in
order to work in collaboration with companies and
to show the benefits of the new design to possible
customers. Monte Carlo simulations of the
detector module and a simple scanner have been
started in a M.Sc. project. The simulations can be
compared with the measurements of the existing
prototype to fine-tune the simulation parameters.
Figure 1: Placement of AvanTomography modules
for thorax scanning
31|
In the NOVAC project, we work together with
Jyväskylä University on a FiDiPro project funded
by TEKES. The FiDiPro professor is R. Holland
Cheng. The aim of the project is to develop new
vaccines for enterovirus-type viruses. The role of
the M2oBSI group in this project is to improve the
electron tomography images by developing new
image reconstruction methods, which allow the
three-dimensional structures in the images to be
better evaluated. For example, the better images
could be used to investigate how the virus is
invading in the cells, by using specific gold particle
labels and very good quality electron tomography
image sets. The first joint paper on the
reconstruction methods was published in PLoS
One in 2014.
The brain image analysis team led by Academy
research fellow Jussi Tohka develops methods for
data analysis in brain imaging applications. The
ongoing research focuses on foundations and
applications of multivariate statistical techniques
in brain imaging. The central application areas
include magnetic resonance imaging (MRI) based
analysis of various brain diseases (especially
Alzheimer’s disease and schizophrenia) and
functional MRI under naturalistic stimulus. We
have continued our ongoing collaborations with
the researchers from the Montreal Neurological
Institute, Canada, University of California, Los
Angeles
(UCLA),
USA
and
Universidad
Politécnica de Valencia, Spain. Nationally, we are
collaborating with researchers from Brain and
Mind Institute at the Aalto University and the
Department of Psychiatry at the University of
Turku.
Annual report 2014
PUBLICATIONS
Refereed Articles
Abramov,Sergey; Abramova, Victoriya; Lukin, Vladimir;
Ponomarenko, Nikolay; Vozel, Benoit; Chehdi, Kacem;
Egiazarian, Karen; Astola, Jaakko 2014.
Methods for Blind Estimation of Speckle Variance in
SAR Images: Simulation Results and Vertification
for Real-Life Data
In: Awrejcewicz, Jan (ed.) Computational and
Numerical Simulations vol. 14, Rijeka, Croatia, InTech .
303-327.
Abramova Victoriya, Abramov Sergey, Lukin Vladimir,
Egiazarian Karen, Astola Jaakko. 2014.
On required accuracy of mixed noise parameter
estimation for image enhancement via denoising
Eurasip Journal on Image and Video Processing vol.
20, num. 1, 1-16.
Aflaki, Payman; Hannuksela, Miska M.; Sarbolandi,
Hamed; Gabbouj, Moncef 2014.
Simultaneous 2D and 3D perception for
stereoscopic displays based on polarized or active
shutter glasses
Journal of Visual Communication and Image
Representation vol. 25, num. 4, 622-631.
Aminlou, Alireza, Lainema, Jani, Ugur, Kemal,
Hannuksela, Miska, Gabbouj, Moncef 2014.
Differential Coding Using Enhanced Inter-Layer
Reference Picture for the Scalable Extension of
H.265/HEVC Video Codec
IEEE Transactions on Circuits and Systems for Video
Technology, vol 24, num 11, 1945-1956 .
Annala, Matti; Kivinummi, Kati; Leinonen, Katri;
Tuominen, Joonas; Zhang, Wei; Visakorpi, Tapio;
Nykter, Matti 2014.
DOT1L -HES6 fusion drives androgen independent
growth in prostate cancer measurements, EMBO
Molecular Medicine vol. 6, 1121-1123.
Astola, Helena; Stankovic, Stanislav; Astola, Jaakko
2014.
Introducing Fault-Tolerance to Multiple-Valued
Logic with Error-Correcting Decision Diagrams,
Journal of Multiple-Valued Logic and Soft Computing
vol. 23, num.5-6, 441-461
Guest Editorial: Best of 18th Scandinavian Conference
On Image Analysis
2013 (J.-K. Kämäräinen, M. Koskela), In Pattern
Recognition Letters, volume 49, 2014
Astola, Jaakko, Kurudymov, D.I.; Solodovnik, V.F.;
Totsky, A.V 2014.
Experimental study of the robustness of bispectralbased modulation,
Telecommunications and Radio Engineering vol. 73,
num 5. 457-465 ,
Azzari, Lucio; Foi, Alessandro 2014.
Indirect Estimation of Signal-Dependent Noise With
Nonadaptive Heterogeneous Samples .
IEEE Transactions on Image Processing vol. 23, num.
8, Piscataway, 3459-3467.
Bassiou, Nikoletta K.; Kotropoulos, Constantine L.
2014.
Online PLSA: Batch Updating Techniques Including
Out-of-Vocabulary Words .
IEEE Transactions on Neural Networks and Learning
Systems vol. 25, num. 11, 1953-1966
Bellalta, Boris; Belyaev, Evgeny; Jonsson, Magnus;
Vinel, Alexey 2014.
Performance evaluation of IEEE 802.11p-enabled
vehicular video surveillance system .
IEEE Communications Letters vol. 18, num. 4, 708-711.
Birinci, Murat; Kiranyaz, Serkan 2014.
A perceptual scheme for fully automatic video shot
boundary detection .
Signal Processing: Image communication vol. 29, num.
3, 410-423.
Cricri, Francesco; Roininen, Mikko J.; Leppänen, Jussi;
Mate, Sujeet; Curcio, Igor D.D.; Uhlmann, Stefan;
Gabbouj, Moncef 2014.
Sport Type Classification of Mobile Videos .
IEEE Transactions on Multimedia Piscataway, 917-932.
Danielyan, Aram; Wu, Yu-Wei; Shih, Pei-Shu;
Dembitskaya, Yulia; Semyanov, Alexey 2014.
Denoising of two-photon fluorescence images with
Block-Matching 3D filtering .
Methods vol. 68, num. 2, 308-316.
Diment, Alexander; Padmanabhan, Rajan; Heittola,
Toni; Virtanen, Tuomas 2014.
Group Delay Function from All-Pole Models for
Musical Instrument Recognition
In: Aramaki, Mitsuko; Derrien, Olivier; KronlandMartinet, Richard; Ystad, Solvi (ed.) . Sound, Music,
and Motion, 10th International Symposium, CMMR
2013, Marseille, France, October 15-18, 2013. Revised
Selected Papers Springer International Publishing .
606-618.
33|
Dumitrescu, Bogdan 2014.
On the relation between the randomized extended
Kaczmarz algorithm and coordinate descent .
BIT Numerical Mathematics
Eghbali, Amir; Saramäki, Tapio; Johansson, Håkan
2014.
Conditions for Lth-band filters of order 2N as
cascades of identical linear-phase FIR spectral
factors of order N .
Signal Processing vol. 97, 1-8.
Foi, Alessandro; Maggioni, Matteo; Pepe, Antonietta;
Rueda, Sylvia; Noble, Alison J.; Papageorghiou, Aris T.;
Tohka, Jussi 2014.
Difference of gaussians revolved along elliptical
paths for ultrasound fetal head segmentation .
Computerized Medical Imaging and Graphics vol. 38,
num. 8, 774-784.
Fukuoh, Atsushi; Cannino, Guiseppe; Gerards, Mike;
Buckley, Suzanne; Kazancioglu, Selena; Scialo, Filippo;
Lihavainen, Eero; Ribeiro, Andre; Dufour, Eric; Jacobs,
Howard T. 2014.
Screen for mitochondrial DNA copy number
maintenance genes reveals essential role for ATP
synthase .
Molecular Systems Biology vol. 10, num. 734, Britania,
1-21.
Gnanavel, Mutharasu; Mehrotra, Prachi; Rakshambikai,
Ramaswamy; Martin, Juliette; Srinivasan,
Narayanaswamy; Bhaskara, Ramachandra M. 2014.
CLAP: A web-server for automatic classification of
proteins with special reference to multi-domain
proteins .
BMC Bioinformatics vol. 15, num. 1, 1-6.
Guldogan, Esin; Olsson, Thomas; Lagerstam, Else;
Instance based personalized multi-form image
browsing and retrieval .
Multimedia Tools and Applications vol. 71, num. 4,
1087-1104.
Gupta, Abhishekh; Lloyd-Price, Jason; Oliveira, Samuel
M D; Yli-Harja, Olli; Muthukrishnan, Anantha-Barathi;
Ribeiro, Andre S 2014.
Robustness of the division symmetry in
Escherichia coli and functional consequences of
symmetry breaking .
Physical biology vol. 11, num. 6
Gupta, Abhishekh; Lloyd-Price, Jason; Neeli-Venkata,
Ramakanth; Oliveira, Samuel M. D.; Ribeiro, Andre S.
2014.
In Vivo Kinetics of Segregation and Polar Retention
of MS2-GFP-RNA Complexes in Escherichia coli .
Biophysical Journal vol. 106, num. 9, 1928-1937.
Häkkinen, Antti; Kandhavelu, Meenakshisundaram;
Garasto, Stefania; Ribeiro, Andre S. 2014.
Estimation of fluorescence-tagged RNA numbers
from spot intensities .
Bioinformatics vol. 30, num. 8, 1146-1153.
Häkkinen, Antti; Ribeiro, Andre S. 2014.
Estimation of GFP-tagged RNA numbers from
temporal flourescence intensity data .
Bioinformatics vol. 592, Britannia, 1-7.
Härmä, Ville; Schkov, Hannu-Pekka; Happonen, Antti;
Ahonen, Ilmari; Virtanen, Johannes; Siitari, Harri;
Åkerfelt, Malin; Lötjönen, Jyrki; Nees, Mathias 2014.
Quantification of Dynamic Morphological Drug
Responses in 3D Organotypic Cell Cultures by
Automated Image Analysis .
PLOS One vol. May, num. 8, USA, 1-11.
Heittola, Toni; Mesaros, Annamaria; Korpi, Dani;
Eronen, Antti; Virtanen, Tuomas 2014.
Method for creating location-specific audio textures
EURASIP journal on Audio, Speech, and Music
Processing vol. 1, num. 9, 1-13.
Helander, Elina; Kaipainen, Kirsikka; Korhonen, Ilkka;
Wasink, Brian 2014.
Factors Related to Sustained Use of a Free Mobile
App for Dietary Self-Monitoring With Photography
and Peer Feedback: Retrospective Cohort Study .
Journal of medical internet research vol. 16, num. 4,113.
Helander, Elina E.; Vuorinen, Anna-Leena; Wansink,
Brian; Korhonen, Ilkka K.J. 2014.
Are breaks in daily Self-Weighing Associated with
Weight Gain .
Plos one vol. 9, num. 11, 1-4.
Jin, Lina ; Boev, Atanas; Egiazarian, Karen; Gotchev,
Atanas 2014.
Quantifying the importance of cyclopean view and
binocular rivalry-related features for objective
quality assessment of mobile 3D video .
Euraship Journal on Image and Video Processing num.
January, 1-7.
Joutsijoki, Henry; Meissner, Kristian; Gabbouj, Moncef;
Kiranyaz, Serkan; Raitoharju, Jenni; Ärje, Johanna;
Kärkkäinen, Salme; Tirronen, Ville; Turpeinen, Tuomas;
Juhola, Matti 2014.
Evaluating the performance of artificial neural
networks for the classification of freshwater benthic
macroinvertebrates .
Ecological Informatics vol. 20, 1-12.
Annual report 2014
Kallionpää, Henna; Elo, Laura L.; Laajala, Essi;
Mykkänen, Juha; Ricano-Ponce, Isis; Vaarma, Matti;
Laajala, Teemu D.; Hyöty, Heikki; Ilonen, Jorma;
Veijola, Riitta; Simell, Tuula; Wijmenga, Cisca; Knip,
Mikael; Lähdesmäki, Harri; Simell, Olli; Lahesmaa,
Riitta 2014.
Innate Immune Activity Is Detected Prior to
Seroconversion in Children With HLA-Conferred
Type 1 Diabetes Susceptibility .
Diabetes vol. 63, num. 7, 2402-2414.
Katkovnik, V.; Bioucas-Dias, J. 2014.
Wavefront reconstruction in phase-shifting
interferometry via sparse coding of amplitude and
absolute phase .
Journal of the Optical Society of America A: optics
image science and vision vol. 31, num. 8, 1801-1810.
Kauppi, Jukka-Pekka; Pajula, Juha; Tohka, Jussi 2014.
A Versatile Software package for inter-subject
correlation based analyses of fMRI .
Frontiers in Neuroinformatics vol. 8, Switzerland, 1-13.
Kiranyaz, Serkan; Ince, Turker; Zabihi, Morteza; Ince,
Dilek 2014.
Automated patient-specific classification of longterm Electroencephalography .
Journal of Biomedical Informatics vol. 49, num. Jun, 1631.
Kovacs, Peter Tamas; Balkogh, Tibor 2014.
HoloVizio 3D Lichtfeld Display-technologie
In: Prenzel, Wolf-Dieter (ed.) . Jahrbuch Optik und
Feinmechanik 2014 vol. 60. Jahrgang, Optik-Verlag .
111-130.
Laurila, Kirsti; Autio, Reija; Kong, Lingjia; Närvä, Elisa;
Hussein, Samer; Otonkoski, Timo; Lahesmaa, Riitta;
Lähdesmäki, Harri 2014.
Integrative genomics and transcriptomics analysis
of human embryonic and induced pluripotent stem
cells .
BioData Mining 1-24.
Lemay, Mathieu; Bertschi, Mattia; Sola, Josep;
Renevey, Philippe; Parak, Jakub; Korhonen, Ilkka 2014.
Application of Optical Heart Rate Monitoring
In: Sazonov, Edward; Neuman, Michael R. (ed.) .
Werable Sensors: Fundamentals, Implementation and
Applications Elsevier; Imprint: Academic Press . 105129.
Lemay, Mathieu; Bertschi, Mattia; Sola, Josep;
Renevey, Philippe; Parak, Jakub; Korhonen, Ilkka 2014.
Application of Optical Heart Rate Monitoring
In: Sazonov, Edward; Neuman, Michael R. (ed.) .
Werable Sensors: Fundamentals, Implementation and
Applications Elsevier; Imprint: Academic Press . 105129.
Li, X.; Liu, Y.; Granberg, K.J.; Wang, Q.; Moore, L.M.;
Ji, P.; Gumin, J.; Sulman, E.P.; Calin, G.A.; Haapasalo,
H.; Nykter, M.; Shmulevich, I.; Fuller, G.N.; Lang, F.F.;
Zhang, W. 2014.
Two mature products of MIR-491 coordinate to
suppress key cancer hallmarks in glioblastoma .
Oncogene
Lin, Jake; Kreisberg, Richard; Kallio, Aleksi; Dudley,
Aimee M.; Nykter, Matti; Shmulevich, Ilya; May, Patrik;
Autio, Reija 2014.
POMO - Plotting Omics analysis results for Multiple
Organisms .
BMC Genomics vol. 14, 1-10.
Linne, Marja- Leena; Jalonen, Tuula O. 2014.
Astrocyte-neuron interactions: From experimental
research-based models to translational medicine .
Progress in molecular biology and translational science
vol. 123, 191-217.
Lloyd-Price, Jason; Tran, Huy; Ribeiro, Andre S. 2014.
Dynamics of small genetic circuits subject to
stochastic partitioning in cell division .
Journal of Theoretical Biology vol. 356, 11-19.
Lukin, V. ; Abramov, S. ; Ponomarenko, N.; Krivenko,
S.; Uss, M.; Vozel, B.; Chehdi, K.; Egiazarian, K.;
Astola, J. 2014.
Approaches to Automatic data processing in
Hyperspectral remote Sensing .
num. 13, 1125-1139.
Lukin, V.; Abramov, S.; Rubel, A; Krivenko, S.;
Naumenko, A.; Vozel, B.; Chehdi, K.; Egiazarian, K.;
Astola, J. 2014.
An Approach to Prediction of Signal-Dependent
Noise Removal Efficiency by DCT-Based Filter .
num. 18, 1645-1659.
Maggioni, Matteo; Sanchez-Monge, Enrique; Foi,
Alessandro 2014.
Joint Removal of Random and Fixed-Pattern Noise
Through Spatiotemporal Video Filtering .
IEEE Transactions Image Processing vol. 23, num. 10,
4282-4296.
35|
Mäkitalo, Markku; Foi, Alessandro 2014.
Noise Parameter mismatch in variance stabilization,
With an Application to Poisson-Gaussian Noise
Estimation .
IEEE Transactions Image Processing vol. 23, num. 12,
5348-5359.
Muthukrishnan, Anantha-Barathi; Martikainen, Antti;
Neeli-Venkata, Ramakanth; S. Ribeiro, Andre 2014.
In Vivo Transcription Kinetics of a Synthetic Gene
Uninvolved in Stress-Response Pathways in
Stressed Escherichia coli Cells .
Plos One 1-9.
Makkonen, J.; Marsh, L.A.; Vihonen, J.; Järvi, A.;
Armitage, D.W.; Visa, A.; Peyton, A.J. 2014.
KNN classification of metallic targets using the
magnetic polarisability tensor .
Measurement Science and Technology vol. 25, num. 5,
United kingdom, 1-9.
Mutikainen, Sara; Helander, Elina; Pietilä, Julia;
Korhonen, Ilkka; Kujala, Urho M. 2014.
Objectively measured physical activity in Finnish
employees: a cross-sectiional .
BMJ Open vol. 4, num. 12, 1-11.
Mehta, Rakesh; Yuan, Jirui; Egiazarian, Karen 2014.
Face recognition using scale-adaptive directional
and textural features .
Pattern Recognition vol. 47, num. 5, 1846-1858.
Molchanov, P.; Harmanny, R. I.; de Wit, J. J.;
Egiazarian, K.; Astola, J. 2014.
Classification of small UAVs and birds by microDoppler signatures .
International Journal of Microwave and Wireless
Technologies vol. 6, num. 3-4, 435-444.
Molchanov, P.A.; Astola, J.T.; Egiazarian, K.O.; Totsky,
A.V.; Zelensky, A.A. 2014.
A novel bispectrum-based frequency encoding
technique developed for noisy and multipath fading
radio links .
num. 3, 221-239.
Molchanov, Pavlo; Egiazarian, Karen; Astola, Jaakko;
Totsky, Alexander; Leshchenko, Sergey; JaraboAmores, Maria Pilar 2014.
Classification of aircraft using micro-Doppler
bicoherence-based features .
IEEE Transactions on Aerospace and Electronic
Systems vol. 50, num. 2, 1455-1467.
Moradi, Elaheh; Pepe, Antoinietta; Gaser, Christian;
Huttunen, Heikki; Tohka, Jussi 2014.
Machine learning framework for early MRI-based
Alzheimer's conversion prediction in MCI subjects .
Neuroimage
Munukka, Eveliina; Pekkala, Satu; Wiklund, Petri;
Rasool, Omid; Borra, Rodald; Kong, Lingjia; Ojanen,
Xiaowei; Cheng, Shu Mei; Roos, Christophe; Tuomela,
Soile; Alen, Markku; Lahesmaa, Riitta; Cheng, Sulin
2014.
Gut-adipose tissue axis in hepatic fat accumulation
in humans .
Journal of Hepatology vol. 61, num. 1, 132-138.
Nikunen, Joonas; Virtanen, Tuomas 2014.
Direction of Arrival Based Spatial Covariance Model
for Blind Sound Source Separation .
IEEE Transactions on Audio, Speech and Language
Processing vol. 22, num. 3, Piscataway, 727-739.
Orsama, Anna-Leena; Mattila, Elina; Ermes, Miikka;
van Gils, Mark; Wansink, Brian; Korhonen, Ilkka 2014.
Weight Rhythms: Weight Increases during
Weekends and Decreases during Weekdays .
Obesity Facts vol. 7, Switzerland, 36-47.
Paavolainen, Lassi; Acar, Erman; Tuna, Uygar;
Peltonen, Sari; Moriya, Toshio; Soonswad, Pan;
Marjomäki, Varpu; Cheng, Holland; Ruotsalainen, Ulla
2014.
Compensation of Missing Wedge Effects with
Sequential Statistical Reconstruction in Electron
Tomography .
Plos One vol. 9, num. 10, 1-9.
Pajula, Juha; Tohka, Jussi 2014.
Effects of spatial smoothing on inter-subject
correlation based analysis of FMRI .
Magnetic Resonance Imaging vol. 32, num. 9, 11141124.
Parker, B.C.; Engels, M.; Annala, M.; Zhang, W. 2014.
Emergence of FGFR family gene fusions as
therapeutic targets in a wide spectrum of solid
tumours .
Journal of Pathology vol. 232, num. 1, 4-15.
Pepe, Antoinietta; Dinov, Ivo; Tohka, Jussi 2014.
An automatic framework for quantitative validation
of voxel based morphometry measures of
anatomical brain asymmetry .
NeuroImage
Rakshambikai, Ramaswamy; Mutharasu, Gnanavel;
Srnivasan, Narayanaswamy 2014.
Hybrid and Rogue Kinases Encoded in the
Genomes of Model Eukaryotes .
Plos one
Annual report 2014
Ribeiro, Andre S.; Eales, Brenda A.; Lloyd-Price, Jason;
Biddle, Fred G. 2014.
Predictability and randomness of paw choices are
critical elements in the behavioural plasticity of
mouse paw preference .
Animal Behaviour 167-176.
Rueda, S.; Fathima, S.; Knight, C.L.; Yaqub, M.;
Papageorghiou, A.T.; Rahmatullah, B.; Foi, A.;
Maggioni, M.; Pepe, A.; Tohka, J.; Stebbing, R.V.;
McManigle, J.E.; Ciurte, A.; Bresson, X.; Cuadra, M.B.;
Sun, Changming; Ponomarev, G.V.; Gelfand, M.S.;
Kazanov, M.D.; Wang, Ching-Wei 2014.
Evaluation and Comparison of Current Fetal
Ultrasound Image Segmentation Methods for
Biometric Measurements: A Grand Challenge .
IEEE Transactions on Medical Imaging vol. 33, num. 4,
797-813.
Ruusuvuori, Pekka; Lin, Jake; Scott, Adrian; Tan,
Zhihao; Sorsa, Saija; Kallio, Aleksi; Nykter, Matti; YliHarja, Olli; Shmulevich, Ilya; Dudley, Aimee 2014.
Quantitative analysis of colony morphology in yeast
BioTechniques vol. 56, num. 1, 18-27.
Ruusuvuori, Pekka; Paavolainen, Lassi; Rutanen, Kalle;
Mäki, Anita; Huttunen, Heikki; Marjomäki, Varpu 2014.
Quantitative Analysis of Dynamic Association in
Live Biological Fluorescent Samples .
PLOS One vol. 9, num. 4, 1-8.
Song, Tiecheng; Li, Hongliang; Meng, Fanman; Wu,
Qingbo; Luo, Bing; Zeng, Bing; Gabbouj, Moncef 2014.
Noise-Robust Texture Description Using Local
Contrast Patterns via Global Measures .
IEEE Signal Processing Letters vol. 21, num. 1,
Piscataway, 93-96.
Stankovic, Radomir S.; Astola, Jaakko; Moraga,
Claudio 2014.
Fast Fourier Transforms on Finite Groups as a
method in Synthesis for Regularity .
vol. 23, num. 5-6, 463-483.
Stankovic, Stanislav; Stankovic, Milena; Astola, Jaakko
2014.
Representation of Multiple-Valued Functions with
Flat Vilenkin-Chrestenson Spectra by Decision
Diagrams .
vol. 23, num. 5-6, 485-501.
Tabus, Ioan 2014.
Patch-Based Conditional Context Coding of Stereo
Disparity Images .
IEEE Signal processing Letters vol. 21, num. 10, 12201224.
Tohka, Jussi 2014.
Partial volume effect modeling for segmentation
and tissue classification of brain magnetic
resonance images: A review .
World journal of radiology vol. 28, num. 6, 855-864.
Tuna, Uygar; Johansson, Jarkko; Ruotsalainen, Ulla
2014.
Evaluation of analytical reconstruction with a new
gap-filling method in comparison to iterative
reconstruction in [11C]-raclopride PET studies .
Annals of Nuclear Medicine vol. 28, num. 5, 417-429.
Turner-McGrievy, Gabrielle; Helander, Elina; Kaipainen,
Kirsikka; Perez-Macias, Jose Maria; Korhonen, Ilkka
2014.
The use of Crowdsourcing for dietary selfmonitoring: crowdsourced ratings of food pictures
are comparable to ratings by trained observers .
Journal of the American Medical Informatics
Association vol. 7, United Kingdom, 1-8.
Tykkälä, Tommi; Comport, Andrew I.; Kämäräinen,
Joni-Kristian; Hartikainen, Hannu 2014.
Live RGB-D camera tracking for television
production studios .
Representation vol. 25, 207-217.
Uhlmann, Stefan; Kiranyaz, Serkan 2014.
Classification of dual- and single polarized SAR
images by incorporating visual features
ISPRS Journal of Photogrammetry and Remote
Sensing vol. 90, 10-22.
Uhlmann, Stefan; Kiranyaz, Serkan 2014.
Integrating Color Features in Polarimetric SAR
Image Classification .
IEEE Transactions on Geoscience and Remote
Sensing vol. 52, num. 4, 2197-2216.
Uhlmann, Stefan; Kiranyaz, Serkan; Gabbouj, Moncef
2014.
Semi-Supervised Learning for Ill-Posed Polarimetric
SAR Classification .
Remote Sensing vol. 6, num. 6, 4801-4830.
Vad, Viktor; Csebfalvi, Balazs; Rautek, Peter; Gröller,
Eduard 2014
Towards an Unbiased Comparison of CC, BCC, and
FCC Lattices in Terms of Prealiasing
Computer graphics forum vol. 33, num. 3, 81-90.
37|
Vaiyapuri, Periasamy S.; Ali, Alshatwi A.; Mohammad,
Akbarsha A.; Kandhavelu, Jeyalakhmi; Kandhavelu,
Meenakshisundaram 2014.
Time lapse microscopy observation of cellular
structural changes and image analysis of drug
treated cancer cells to characterize the cellular
heterogeneity
Environmental Toxicology
Vattay, Gabor; Kauffman, Stuart; Niiranen, Samuli
2014.
Quantum Biology on the Edge of Quantum Chaos .
PLoS One vol. 9, num. 3, Yhdysvallat, 1-6.
Wiklund, Petri K.; Pekkala, Satu; Autio, Reija; Munukka,
Eveliina; Xu, Leiting; Saltevo, Juha; Cheng, Shumei;
Kujala, Urho M.; Alen, Markku; Cheng, Sulin 2014.
Serum metabolic profiles in overweight and obese
women with and without metabolic syndrome .
Diabetology and Metabolic Syndrome vol. 6,
Wu, Jinjian; Lin, Weisi; Shi, Guangming; Xiao, Jimin
2014.
Correlation based universal image/video coding
loss recovery .
Representation vol. 25, num. 7, 1507-1515.
Wu, Zhizheng; Virtanen, Tuomas; Chng, Eng Siong; Li,
Haizhou 2014.
Exemplar-Based Sparse representation with
Residual Compensation for Voice Conversion .
IEEE/ACM Transactions on Audio, Speech and
Language Processing vol. 22, num. 10, 1506-1521.
Ynag, Jilong; Annala, Matti; Ji, Ping; Wang, Guowen;
Zheng, Hong; Codgell, David; Du, Xiaoling; Fang,
Zhiwei; Sun, Baocun; Nykter, Matti; Chen, Kexin;
Zhang, Wei 2014.
Recurrent LPR1-SNRNP25 and KCNMB¤_CCND3
fusion genes promote tumor cell motility in human
osteosarcoma .
Journal of Hematology & Oncology vol. 7, num. 76, 1-5.
Zeng, Bing; Au Yeung, Siu-Kei; Zhu, Shuyuan;
Perceptual Encryption of H.264 Videos: Embedding
Sign-Flips Into the Integer-Based Transforms .
IEEE Transactions on information forensics and
security vol. 9, num. 2, 309-320.
Refereed conference articles
Adhikarla, Vamsi Kiran; Wozniak, Pawel; Barsi, Attila;
Singhal, Dave; Kovacs, Peter Tamas; Balogh, Tibor
2014.
Freehand interaction with large-scale 3D map data.
3DTV-Conference: The True Vision- Capture,
Transmission and Display of 3D Video (3DTV-CON)),
July 2-4 2014, Budabest, Hungary Piscataway, Institute
of Electrical and Electronics Engineers IEEE. 1-4.
Aflaki Beni, Payman; Hannuksela, Miska; Homayouni,
Maryam; Gabbouj,Moncef, 2014
Joint Depth and Texture Filtering Targeting MVD
Compression. Proceedings of the IEEE Visual
Communications and Image Processing Conference,
IEEE VCIP, Malta, 7-10 December 2014 Piscataway,
Institute of Electrical and Electronics Engineers IEEE .
410-413
Aflaki, Payman; Hannuksela, Miska; Homayouni,
Maryam; Gabbouj, Moncef 2014
Depth-aware 3D video filtering targeting multiview
video plus depth compression . 3DTV-Conference:
The True Vision - Capture, Transmission and Display of
3D Video (3DTV-CON), Budapest, Hungary, 2-4 July
2014 IEEE . 1-4
Aflaki Payman; Hannuksela Miska;
Payman;Hannuksela, Miska M.; Gabbouj, Moncef 2014.
Flexible Depth Map Spatial Resolution in DepthEnhanced Multiview Video Coding IEEE International
Conference on Acoustics, Speech, and Signal
Processing, ICASSP 2014, Florence, Italy, May 4-9,
2014 Piscataway, NJ, Institute of Electrical and
Electronics Engineers IEEE. 875-879
Aflaki Peni, Payman; Homayouni, Maryam;
Hannuksela, Miska M.; Gabbouj, Moncef 2014.
Row-Interleaved Sampling for Stereoscopic Video
Coding Targeting Polarized Displays. IC3D 2014:
International Conference on 3D Imaging, 9-11
December, 2014, Liege, Belgia Piscataway, Institute of
Electrical and Electronics Engineers IEEE. 1-5
Aminlou, Alireza; Ugur, Kemal; Hannuksela, Miska M;
Weighted- prediction-based color gamut scalability
extension for the H.265/HEVC video codec . 2014
IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP), May 4-9 2014,
Florence, Italy 7377 - 7381.
Annual report 2014
Astola, Pekka; Tabus, Ioan 2014.
Immersion depth estimation using spectrograms
displaying Lloyd´s mirror patterns 2014 6th
International Symposium on Communications, Control
and Signal Processing (ISCCP), Athens, Greece, May
21-24, 2014 Piscataway, Institute of Electrical and
Electronics Engineers, IEEE, 380-383.
Aytekin, Caglar; Kiranyaz, Serkan; Gabbouj, Moncef
Automatic Object Segmentation by Quantum Cuts
22nd International Conference on Pattern Recognition,
ICPR 2014, 24-24 August 2014, Stockholm, Sweden
Stockholm, 112-117.
Azzari, Lucio; Foi, Alessandro 2014.
Gaussian-Cauchy Mixture Modeling for Robust
Signal-Dependent Noise Estimation . ICASSP 2014,
IEEE International Conference on Acoustics, Speech,
Signal Processing (ICASSP), Florence, Italy, May 4-9,
2014,5357-5361.
Babahajiani, Pouria; Fan, Lixin; Gabbouj, Moncef 2014.
Object recognition in 3D Point Cloud of Urban
Street Scene . ACCV2014, Workshop- Big Data in 3D
Computer Vision, November 1-5,2014, Singapore
Singapore, 1-14.
Baby, Deepak; Virtanen, Tuomas; Barker, Tom; Van
hamme,Hugo,2014.
Coupled Dictionary Training for Exemplar-Based
Speech Enhancement . 2014 IEEE International
Conference on Acoustics, Speech and Signal
Processing (ICASSP), 4-9 May 2014, Florence .
IEEE international conference on acoustics, speech and
signal processing Piscataway, 2883 - 2887
Baby, Deepak; Virtanen, Tuomas; Gemmeke, Jort F.;
Barker, Thomas; Van Hamme, Hugo 2014.
Exemplar-based Noise Robust Automatic Speech
Recognition using Modulation Spectrogram
Features . 2014 Spoken Language Technology
Workshop, December 7-10,2014 South Lake Tahoe,
Nevada, USA Piscataway, Institute of Electrical and
Electronics Engineers IEEE . 1-6
Balaz, Akos; Barsi, Attila; Kovacs, Peter Tamas;
Balogh, Tibor 2014.
Towards mixed reality applications on light-field
displays. 3DTV-Conference: The True Vision Capture, Transmission and Display of 3D Video (3DTVCON), July 2-4,2014, Budabest, Hungary Piscataway,
1-4
Barker, Tom; Van Hamme, Hugo; Virtanen, Tuomas
2014.
Modelling Primitive Streaming of Simple Tone
Sequences Through Factorisation of Modulation
Pattern Tensors . INTERSPEECH2014, 15th Annual
Conference of the International Speech Communication
Association, 14-18 September 2014, Singapore
Singapore, International Speech Communication
Association, 371-1375.
Barker, Tom; Virtanen, Tuomas; Delhomme, Olivier
2014.
Ultrasound-Coupled Semi-Supervised Nonnegative
Matrix Factorisation for Speech Enhancement .
2014 IEEE International Conference on Acoustic,
Speech and Signal Processing (ICASSP), Florence,
Italy, May 4-9.2014 Piscataway, Institute of Electrical
and Electronics Engineers IEEE . 2148-2152.
Belyaev, Evgeny 2014.
Adaptive Window Size Selection for Efficient
Probability Estimation in Binary Range Coder of the
3-D DWT Video Codec
In: Jonsson, Magnus; Vinel, Alexey; Bellalta, Boris;
Belyaev, Evgeny (ed.) . Multiple Access
Communications, 7th International Workshop, MACOM
2014, Halmstad, Sweden, August 27-28, 2014,
proceedings .
Lecture Notes in Computer Science vol. 8715,
Halmstad, Sweden, 112-119.
Belyaev, Evgeny; Georgiev, Mihail; Egiazarian, Karen;
A combined DCT/DWT asymmetric multi-view video
coding for real-time applications . Proceedings of the
Eighth International Workshop on Video Processing and
Quality Metrics for Consumer Electronics, VPQM-2014,
January 30-31, 2014, Chandler, Arizona, USA
Chandler, Arizona, USA, 1-5.
Belyaev, Evgeny; Vinel, Alexey; Jonsson, Magnus;
Sjoberg, Katrin. 2014.
Live video streaming in IEEE 802.11p vehicular
networks: Demonstration of an automotive
surveillance application. Computer Communications
Workshops (INFOCOM WKSHPS), 2014 IEEE,
Toronto, ON, Conference on April 27 2014-May 2 2014
IEEE . 131 - 132.
39|
Bilevich, Leonid; Vagharshakyan, Suren; Gotchev,
Atanas 2014.
High-quality Light Field Interpolation in Epipolar
Plane Image Domain by DCT-based Shearing
In: Venkov, George; Pasheva, Vesela (ed.) .
Applications of Mathematics in Engineering and
Economics, AMEE´14 , June 8-13, 2014, Sozopol,
Bulgaria .
AIP Conference Proceedings vol. 1631, Sozopol,
American Institute of Physics . 77-84.
Birinci, Murat; Ugur, Kemal 2014.
Interactive Image Segmentation Based on
Superpixel Grouping for Mobile Devices with
Touchscreen. IEEE International Conference on
Multimedia and Expo, ICME 2014, Chengdu, China,
July 14-18, 2014 Piscataway, Institute of Electrical and
Electronics Engineers IEEE . 1-6.
Boev, Atanas 2014.
Passband measurement methodology for multiview
3D dispalys. 3DTV-Conference: The True Vision Capture, Transmission and Display of 3D Video (3DTVCON), July 2-4,2014, Budabest, Hungary Piscataway,
1-4.
Boev, Atanas; Bregovic, Robert 2014.
On the passband of head-parallax displays
In: Egiazarian, Karen O.; Agaian, Sos S.; Gotchev,
Atanas P. (ed.) . IS&T/SPIE Image Processing:
Algorithms and Systems XII, 3-5-2.2014, San
Francisco, California, USA .
Proceedings of SPIE vol. 9019, California, USA, 1-10.
Bregovic, Robert; Gotchev, Atanas 2014.
On the Performance of Multirate Filterbanks:
Quantification of Shift Variance and
Cyclostationarity in the works of Till Aach
Algorithms and Systems XII .
Bregovic, Robert; Kovacs, Peter Tamas; Balogh, Tibor;
Gotchev, Atanas 2014.
Display-specific light-field analysis
In: Javidi, Bahram; Son, Jung-Young; Matoba, Osamu;
Martinez-Corral, Manuel; Stern, Adrian (ed.) .
Proceedings of SPIE, Three-Dimensional Imaging,
Vizualization and Display 2014, Baltimore, Maryland,
USA, 5-7 May, 2014 vol. 9117, Washington, S P I E International Society for Optical Engineering . 1-15.
Bugdayci Sansli, D.; Ugur, K.; Hannuksela, M; Gabbouj,
Moncef 2014.
Backward Compatible Enhancement of Chroma
Format in HEVC . IEEE ICIP 2014, IEEE International
Conference on Image Processing, October 27-30,2014,
paris, France 3686-3690.
Bugdayci Sansli, D.; Ugur, K.; Hannuksela, M.M.;
Gabbouj, M. 2014.
Inter View Motion Vector prediction in Multiview
HEVC . 3DTV-Conference: The True Vision - Capture,
Transmission and Display of 3D Video (3DTV-CON),
Budapest 2-4 July 2014 Piscataway, IEEE . 1-4.
Cao, Guanqun; Ahmad, Iftikhar; Zhang, Honglei; Xie,
Weiyi; Gabbouj, Moncef 2014.
Balance Learning to Rank in Big Data . Proceedings
of the 22nd European Signal Processing Conference,
EUSIPCO 2014, 1-5 September 2014, Lisbon, Portugal
Lisbon, 1422 - 1426.
Chen, Ke; Kämäräinen, Joni-Kristian 2014.
How Can Cumulative Attribute Contribute to
Regression: Representation vs.Privileged
Information?
In: Koskela, Markus; Heikkinen, Kari (ed.) . Federated
Computer Science Event 2014, 3-4.6.2014
Lappeenranta, Finland .
LUT Scientific and Expertise Publications - Research
Reports 24 Lappeenranta, 27-28.
Chen, Ke; Kämäräinen, Joni-Kristian 2014.
Learning to Count with Back-Propagated
Information . 22nd International Conference on Pattern
Recognition, ICPR 2014, August 24-28 2014,
Stockholm, Sweden Piscataway, IEEE . 4672-4677.
Chuchvara, Aleksanda; Georgiev, Mihail; Gotchev,
Atanas 2014.
A framework for fast low-power multi-sensor 3D
scene capture and reconstruction
In: Cantoni, Virginio; Dimov, Dimo; Tistarelli, Massimo
(ed.) . Biometric Authentication, First International
Workshop, BIOMET 2014, Sofia, Bulgaria, June 23-24,
2014 .
Lecture Notes in Computer Science vol. 8897, 40-53.
Annual report 2014
Chuchvara, Aleksandra; Georgiev, Mihail; Gotchev,
Atanas 2014.
A Speed-optimized RGB-Z capture system with
improved denoising capabilities
Algorithms and Systems XII, 3-5.2.2014, San
Chuchvara, Aleksandra; Georgiev, Mihail; Gotchev,
Atanas 2014.
CPU-efficient free view synthesis based on depth
layering . 3DTV-Conference:The True Vision- Capture,
July 2-4,2014, Budabest, Hungary Piscataway, Institute
of Electrical and Electronics Engineers IEEE . 1-4.
Conti, Caroline; Kovacs, Peter Tamas; Balogh, Tibor;
Nunes, Paulo; Soares, Luis Ducla 2014.
Light-field video coding using geometry-based
disparity compensation . 3DTV-Conference: The True
Vision - Capture, Transmission and Display of 3D Video
(3DTV-CON), July 2-4,2014, Budabest, Hungary
Piscataway, Institute of Electrical and Electronics
Engineers IEEE . 1-4.
Dumitrescu, Bogdan; Sicleru, Bogdan 2014.
Optimization with Sums of Exponentials and
Applications . IEEE International Conference on
Acoustics, Speech and Signal processing, ICASSP , 49.5.2014, Florence, Italy Piscataway, NJ, Institute of
Electrical and Electronics Engineers IEEE . 370-374.
Foi, Alessandro; Boracchi, Giacomo 2014.
Nonlocal Foveated Principal Components . 2014
IEEE Workshop on Statistical Signal Processing, SSP
2014, Gold Coast, Australia, June 29 - July 2, 2014
145-148.
Frantc, V.A.; Voronin, V.V.; Marchuk, V.I.; Sherstobitov,
A.I.; Agaian, S.; Egiazarian, K. 2014.
Machine learning approach for objective inpainting
quality assessment . Mobile Multimedia/Image
Processing, Security, and Applications 2014, Baltimore,
MD, United States, 5-6 May 2014.
Fu, Junsheng; Fan, Lixin; Roimela, Kimmo; You, Yu;
Mattila, Ville-Veikko 2014.
A 3D Map Augmented Photo Gallery Application on
Mobile Device . ICIP 2014 IEEE International
Conference on Image Processing, October 27-30,
2014, Paris, France Paris, 1-5.
Fu, Junsheng; Kämäräinen, Joni-Kristian; Buch, Anders
2014.
Indoor Objects and Outdoor urban Scenes
Recognition by 3D Visual Primitives . IEEE 12th
Asian Conference on Computer vision Singapore, IEEE
1-16.
Gencoglu, Oguzhan; Virtanen, Tuomas; Huttunen,
Heikki 2014.
Recognition of Acoustic Events Using Deep Neural
Networks . EUSIPCO 2014, 22th European Signal
Processing Conference, 1-5 September 2014, Lisbon,
Portugal Piscataway, Institute of Electrical and
Electronics Engineers . 506-510.
Giannoulis, Dimitrios; Benetos, Emmanouil; Klapuri,
Anssi; Plumbley, Mark D. 2014.
Improving instrument recognition in polyphonic
music through system integration . 2014 IEEE
International Conference on Acoustics, Speech and
Signal Processing (ICASSP), 4-9 May 2014, Florence,
Italy 1-5.
Gilian, Zoltan; Kovacs, Peter; Samiee, Kaveh 2014.
Rhythm-based Accuracy Improvement of Heart Beat
Detection Algorithms . Computing in Cardiology - 41st
Annual Conference, September 7-10, 2014, Boston,
Massachusetts, USA vol. 41, Boston, Massachusetts,
Computing in Cardiology . 269-272.
Heide, Felix; Steinberger, Markus; Tsai, Yun-Ta; Rouf,
Mushfiqur; Pajak, Dawid; Rouf, Mushfiqur; Reddy,
Dikpal; Gallo, Orazio; Liu, Jing; Heidrich, Wolfgang;
Egiazarian, Karen; Kautz, Jan; Pulli, Kari 2014.
FlexISP: a flexible camera image processing
framework Proceedings of ACM SIGGRAPH Asia
2014 .
ACM Transactions on Graphics vol. 33, num. 6, 1-13.
Helin, P.; Katkovnik, V.; Gotchev, A.; Astola, J. 2014.
Super resolution inverse imaging for plenoptic
camera using wavefield modeling . 3DTVConference on True Vision - Capture, Transmission and
Display of 3D Video (3DTV-CON); Location: Budapest,
HUNGARY, Date: JUL 02-04, 2014 1-4.
Hiekkanen, Antti; Nieminen, Hannu; Korhonen, Ilkka
2014.
Health coaching in Finland - a market study. 2014
IEEE-EMBS International Conference on Biomedical
and Health Informatics (BHI), 1-4 June 2014, Valencia,
Spain Picataway, 805-808.
41|
Homayouni, Maryam; Aflaki, Payman; Gabbouj, Moncef
2014.
Adaptive DCT based Depth Map resampling for
Depth enhanced Multiview Video Coding . 3DTVConference: The True Vision - Capture, Transmission
and Display of 3D Video (3DTV-CON), Budapest 2-4
July 2014 Piscataway, IEEE . 1-4.
Homayouni, Maryam; Aflaki Peni, Payman;
Hannuksela, Miska; Gabbouj, Moncef 2014.
Asymmetric Luminance Based Filtering for
Stereoscopic Video Compression . IC3D 2014:
International Conference on 3D Imaging, December 911, 2014, Liege, Belgium Piscataway, Institute of
Homayouni, Maryam; Aminlou, Alireza; Aflaki, Payman;
Content Adaptive Depth map Resampling Scheme
in Multiview Video Plus Depth . 2014 IEEE
International Symposium on Circuits and Systems
(ISCAS), Melbourne, Australia. 1-5 June Piscataway,
NJ, Institute of Electrical and Electronics Engineers
IEEE . 538-541.
Hukkanen, Jenni; Astola, Pekka; Tabus, Ioan 2014.
Lossless Compression of regions-of-intrest from
Retinal Images . EUVIP 2014, 5th European Workshop
on Visual Information Processing, 10-12 December,
2014, Paris Piscataway, Institute of Electrical and
Iqbal Umar; Curcio, Igor D.D.; Gabbouj, Moncef 2014.
Who is the Hero? -Semi-Supervised person ReIdentification in Videos . VISAPP 2014, Proceedings
of the 9th International Conference on Computer Vision
Theory and Applications, Lisbon, Portugal, January 5-8,
2014 vol. 2, Lisbon, SciTePress . 162-173.
Irofti, Paul; Dumitrescu, Bogdan 2014.
GPU Parallele Implementatiion of the Approximate
K-SVD Algoritm using Opencl . Proceedings of the 22
nd European Signal Processing Conference,
EUSIPCO2014, 1-5 September 2014, Lisbon, Portugal
Joachimiak, Michal; Aflaki, Payman; Hannuksela, Miska
M.; Gabbouj, Moncef 2014.
Evaluation of depth-Based Super Resolution on
Compressed Mixed Resolution 3D Video .
ACCV2014 Workshop - Big data in 3D Computer
Vision, November 1-5,2014, Singapore Singapore, 111.
Joachimiak, Michal; Hannuksela, Miska M.; Gabbouj,
Moncef 2014.
View Synthesis Quality Mapping for Depth-Based
Super Resolution on Mixed Resolution 3D Video .
3DTV-Conference: The True Vision - Capture,
Transmission and Display of 3D Video (3DTV-CON), 24 July 2014, Budapest Piscataway, Institute of Electrical
Jylhä, Juha; Väilä, Minna; Perälä, Henna; Väisänen,
Ville; Visa, Ari; Vehmas, Risto; Kylmälä, Jarkko;
Salminen, Vesa-Jukka 2014.
On SAR Processing Using Pixel-wise Matched
Kernels . Proceedings of the 11th European Radar
Conference, EuMW2014, European Microwave Week
2014, 5-10 October,2014, Rome, Italy Piscataway,
Institute of Electrical and Electronics Engineers . 97100.
Katkovnik, V. 2014.
Phase imaging from noisy interferometric
observations via sparse coding of phase and
amplitude . 1st International Scientific School on
Methods of Digital Image Processing in Optics and
Photonics, 8-11 April 2014, St Petersburg, Russia .
Journal of Physics: Conference Series vol. 536, num. 1.
Katkovnik, V.; Bioucas-Dias, J.; Petrov, N.V. 2014.
Digital phase-shifting holography based on sparse
approximation of phase and amplitude . 3DTVConference on True Vision - Capture, Transmission and
Display of 3D Video (3DTV-CON), Jul 02-04, 2014,
Budapest, Hungary 1-4.
Katkovnik, Vladimir; Egiazarian, Karen; Bioucas-Dias,
Jose 2014.
Phase imaging via sparse coding in the complex
domain based on high-order svd and nonlocal
BM3D techniques . ICIP 2014, 2014 IEEE International
Conference on Image Processing (ICIP), 27-30 Oct.
2014, Paris, France 4587 - 4591.
Katkovnik, Vladimir; Bioucs-Dias, Jose; Hao, Hongxing
2014.
Wavefront reconstruction from Noisy fringe
observations via Sparse Coding
In: Osten, W. (ed.) . Fringe 2013. 7th International
Workshop on Advanced Optical Imaging and Metrology
Berlin, 179-184.
Kerminen, Riitta; Hakulinen, Esa; Syrjärinne, Paula;
Nummenmaa, Jyrki; Thanisch, Peter; Visa, Ari 2014.
Analysis of bus delays in Tampere using rea-time
data . 10th ITS European Congress, Helsinki, Finland,
16-19.6.2014 Helsinki, Ertico . 1-9.
Annual report 2014
Koivumäki, Janne; Honkakorpi, Janne; Vihonen, Juho;
Mattila, Jouni 2014.
Hydraulic Manipulator Virtual Decomposition
Control with Performance Analysis Using Low-Cost
MEMS Sensors . IEEE/ASME International Conference
on Advanced Intelligent Mechatronics, Besancon,
France, July 8-11, 2014 Piscataway, NJ, IEEE . 1-8.
Kovacs, Peter; Samiee, Kaveh; Gabbouj, Moncef 2014.
On Application of Rational Discrete Short Time
Fourier transform in Epileptic seizure Classification
. 2014 IEEE International Conference on Acoustics,
Speech and Signal processing (ICASSP), May 4-9
2014, Florence, Italy
and Signal Processing Piscataway, IEEE . 5839-5843.
Kovacs, Peter Tamas; Lackner, Kristof; Barsi, Attila;
Balazs, Akos; Boev, Atanas; Bregovic, Robert;
Measurement of Perceived Spatial Resolution in 3D
Light-field Displays . ICIP 2014 IEEE International
2014, Paris, France 768-772.
Kovacs, Peter Tamas; Boev, Atanas; Bregovic, Robert;
Quality Measurement of 3D light-Field Displays .
Proceedings of the Eight International Workshop on
Video Processing and Quality Metrics for Consumer
Electronics, VPQM-2014, Chandler, Arizona, January
30-31,2014 Arizona, Arizona State University . 1-6.
Kozhemiakina, Nadejda; Ponomarenko, Nikolay; Lukin,
Vladimir; Egiazarian, Karen; Astola, Jaakko 2014.
Means and Results of Efficiency Analysis for Data
Compression Methods Applied to Typical
Multimedia Data . 2014 First International ScientificPractical Conference, Problems of Infocommunications
Science and Technology, PIC S&T 2014, Conference
Proceedings, October 14-17, 2014, Kharkiv, Ukraine
Piscataway, NJ, Institute of Electrical and Electronics
Lackner, Kristoff; Boev, Atanas; Gotchev, Atanas 2014.
Binocular depth perception: does head parallas
help people see better in depth . 3DTVCONFERENCE: The True Vision - Capture ,
Transmission and Disply of 3D Video (3DTV-CON),
JULY 2-4, Budabest, Hungary Piscataway, Institute of
Maggioni, Matteo; Jin, Guoxin; Foi, Alessandro;
Pappas, Thrasyvoulos N. 2014.
Structural texture Similarity Metric Based on IntraClass Variances . ICIP 2014, IEEE International
Conference on Image Processing, October 27-30,2014,
Paris, France Piscataway, Institute of Electrical and
Mahkonen, Katariina; Kämäräinen, Joni-Kristian;
Virtanen, Tuomas 2014.
Lifelog Scence Change Detection Using Cascades
of Audio and Video Detectors . 12th Asian Conferece
on Computer Vision, Singapore, 1-5-11.2014
Singapore, IEEE . 1-11.
Kovacs, Peter Tamas; Lackner, Kristoff; Barsi, Attila;
Adhikarla, Vamsi Kiran; Bregovic, Robert; Gotchev,
Atanas 2014.
Analysis and Optimization of Pixel Usage of LightField Conversion from Multi-camera Setups to 3D
Light-Field Displays . ICIP2014, IEEE International
2014, Paris, France 86-90.
Mattila, Ville; Muttilainen, Lasse; Virtanen, Kai; Jylhä,
Juha; Väisänen, Ville 2014.
Optimizing locations of decoys for protecting
surface-based radar against anti-radiation missile
with multi-objective ranking and selection. .
Proceedings of the 2014 Winter Simulation Conference,
Savannah, GA, Dec. 7.-10.2014 2319-2330.
Kovacs, Peter Tamas; Nagy, Zsolt; Barsi, Attila;
Adhikarla, Vamsi Kiran; Bregovic, Robert 2014.
Overview of the Applicability of H.264/MVC for RealTime Light-Field Applications . 3DTV-Conference:
The True Vision - Capture, Transmission and Display of
3D Video (3DTV-CON), Budapest, 2-4 July 2014
Engineers . 1-4.
Moradi Elaheh;Gaser, Christian; Huttunen, Heikki;
Tohka, Jussi; Alzheimerr's Disease Neuroimaging
Initiative 2014.
MRI based dementia classification using semisupervised learning and domain adaption . MICCAI
2014 Workshop Proceedings, Challange on ComputerAided Diagnosis of Dementia, based on Structural MRI
Data September 14-18 2014, Boston, USA 65-73.
Kovacs, Peter; Vad, Viktor 2014.
Fast Computing of Non-uniform Sampling Positions
for Real Signals . Proceedings, 15th International
Symposium on Symbolic and Numeric Algorithms for
Scientific Computing, SYNASC 2013, 23-26 Sept. 2013,
Timisoara, Romania 146-150.
Moradi, Elaheh; Tohka, Jussi; Gaser, Christian 2014.
Semi-supervised learning in MCI-to-AD conversion
prediction - When is unlabeled data useful? . 2014
International Workshop on Pattern Recognition in
Neuroimaging, Tubingen, Germany, June 4-6, 2014
Piscataway, NJ, Institute of Electrical and Electronics
43|
Naumenko, A.V.; Lukin, V.V.; Vozel, B.; Chehdi, K.;
Egiazarian, K.O. 2014.
Neural Network Based Edge Detection in Two-Look
and Dual-Polarization Radar Images 15th
International Radar Symposium (IRS), Jun 16-18, 2014,
Gdansk, Poland 1-4.
Nihtilä, Tomi; Jylhä, Juha; Visa, Ari 2014.
High- Resolution Acoustic Imaging in Air by
Synthetic Aperture using Pixel-wise Matched
Kernels . Proceedings of IEEE SENSORS 2014,
Valencia, Spain, November 2-5, 2014 Piscataway,
Institute of Electrical and Electronics Engineers . 17141717.
Nikunen, Joonas; Virtanen, Tuomas 2014.
Multichannel Audio separatiion by Direction of
Arrival Based Spatial covariance model and NonNegative Matrix Factorization . 2014 IEEE
International Conference on Acoustic, Speech and
Signal Processing (ICASSP), F Florence, Italy, May 4-9,
2014 Piscataway, 6727-6731.
Onose, Alexandre; Dumitrescu, Bogdan 2014.
Adaptive Randomized Coordinate descent for
Solving sparse Systems . EUSIPCO2014, 22nd
European Signal Processing Conference, 1-5
September 2014, Lisbon, Portugal Piscataway, Institute
Ozan, Ezgi Can; Tankiz, Seda; Acar, Banu Oskay;
Ciloglu, Tolga 2014.
An Unsupervised Audio Segmentation Method
Using Bayesian Information Criterion . 6th
& Signal Processing, ISCCSP, 21-23.5.2014, Athens,
Greece 640-643.
Parak, Jakub; Korhonen, Ilkka 2014.
Evaluation of wearable heart rate monitors based
on photopletysmography . 2014 36th Annual
International Conference of the IEEE Engineering in
medicine and Biology Society (EMBC) , 26-30 August,
2014, Chicago, IL, USA Pisgataway, Institute of
Parviainen, Mikko; Pertilä, Pasi; Hämäläinen, Matti S.
2014.
Self-localization of wireless acoustic sensors in
Meeting rooms The 4th Joint Workshop on Handsfree Speech Communication and Microphone Arrays
(HSCMA 2014), 12-14.5.2014, Nancy, France
Picataway, IEEE . 152-156.
Pavel, Misha 2014.
The role of computational, multiscale models in
behavioral informatics 2014 IEEE-EMBS
International Conference on Biomedical and Health
Informatics (BHI), 1-4 June 2014, Valencia
Perälä, Henna; Väilä, Minna; Jylhä, Juha; Visa, Ari;
Kylmälä, Jarkko; Salminen, Vesa-Jukka 2014.
On Efficent Characterization of Radar Targets with
Scatterer Sets for Target Recognition Using
Commercial Ray Tracing Software . 2014 IEEE
Radar Conference from sensing to information, 19-23
May2014, Cincinnati, OH,USA .
IEEE Radar Conference Piscataway, IEEE . 260-264.
N. Strokina T. Eerola L. Lensu M. Sorokin, H.
Kälviäinen 2014.
Image-based characterization of the pulp flows., In
the 9th Open German-Russian Workshop on Pattern
Recognition and Image Understanding (OGRW 2014)
Perez-Macias, Jose; Jimison, Holly; Korhonen, Ilkka;
Pavel, Misha 2014.
Comparative assessment of sleep quality estimates
using home monitoring technology .36th Annual
International Conference of the IEEE Engineering in
Medicine and Biology Society EMBC'14, 26-30 August
2014, Chicago, IL, USA Piscataway, Institute of
Electrical and Electronics Engineers . 4979-4982.
Pertilä, Pasi; Nikunen, Joonas 2014.
Microphone Array Post-Filtering Using Supervised
Machine Learning for Speech Enhancement
INTERSPEECH 2014, 15th Annual Conference of the
International Speech Communication Association, 1418, September 2014, Singapore Singapore, 2675-2679.
Ponomarenko, Nikolay; Lukin, Vladimir; Ieremeiev,
Oleg; Vozel, Benoit; Chehdi, Kacem; Egiazarian, Karen;
Astola, Jaakko 2014.
Image visual quality metrics verification by
TID2013: Exploring of mean square error drawbacks
. Proceedings of the 2014 5th European Workshop on
Visual Information Processing (EUVIP), 10-12 Dec.
2014, Villetaneuse, Paris, France 1-6.
Raitoharju, J.; Zhang, H.; Ozan, E.C.; Waris, M.A.;
Faisal, M.; Cao, G.; Roininen, M.; Ahmad, I.; Shetty, R.;
P.C., S.; Uhlmann, S.; Samiee, K.; Kiranyaz, S.;
Gabbouj, M. 2014.
TUT Muvis Image Retrieval System Proposal for
MSR-BING Challenge 2014 . IEEE International
Conference on Multimedia and Expo, ICME 2014,
Chengdu, China, July 14-18, 2014 Piscataway, Institute
Raitoharju, Jenni; Kiranyaz, Serkan; Gabbouj, Moncef
2014.
Evolutionary feature Synthesis by MultiDimensional Particle Swarm Optimization .
Proceedings of the 2014 5th European Workshop on
Visual Information Processing EUVIP2014 , December
10-12, 2014, Paris, France Piscataway, Institute of
Annual report 2014
Riabchenko, Ekaterina; Kämäräinen, Joni-Kristian;
Chen, Ke 2014.
Density-Aware Part-Based Object Detection with
Positive Examples . 22nd International Conference on
Pattern Recognition, ICPR 2014, August 24-28, 2014,
Stockholm, Sweden Piscataway, Institute of Electrical
Riabchenko, Ekaterina; Kämäräinen, Joni-Kristian;
Chen, Ke 2014.
Learning Generative Models of Object Parts from a
Few Positive Examples . 22nd International
Conference on Pattern Recognition, ICPR 2014, August
24-28, 2014, Stockholm, Sweden 2287 - 2292.
Roodaki-Lavasani, Hoda; Lainema, Jani 2014.
Efficient burst image compression using
H.265/HEVC
In: Creutzburg, R.; Akopian, D. (ed.) . Conference on
Mobile Devices and Multimedia - Enabling
Technologies, Algorithms, and Applications Location:
San Francisco, CA Date: FEB 03-05, 2014
SPIE conference proceedings num. 9030.
Rubel, Aleksey S.; Lukin, Vladimir V.; Egiazarian, Karen
2014.
Metric performance in similar blocks search and
their use in collaborative 3D filtering of grascale
images
Algorithms and Systems XII, 3-5-2.2014, San
Francisco, California, USA.
Saaranen, Mika; Parak, Jakub; Honko, Harri; Aaltonen,
Timo; Korhonen, Ilkka 2014.
W2E - Wellness Warehouse Engine for semantic
interoperability of consumer health data . 2014
IEEE-EMBS International Conference on Biomedical
and Health Informatics (BHI), 1-4 June 2014, Valencia,
Spain Piscataway, 350-354.
Sanchez, Gerard; Silen, Hanna; Nurminen, Jani;
Hierarchical modeling of F0 contours for voice
conversion . INTERSPEECH 2014, Proceedings of
the15th Annual Conference of the International Speech
Communication Association, 14-18, September 2014,
Singapore Singapore, 2318-2321.
Sarbu, Septimia 2014.
Renyi Information Transfer: Partial Renyi Transfer
Entropy and Partial Renyi Mutual information . 2014
and Signal Processing (ICASSP), Florence, Italy, May
4-9.2014 Picataway, Institute of Electrical and
Schiopu, Ionut; Tabus, Ioan 2014.
Anchor Points Coding for Depth Map Compression .
ICIP 2014 IEEE International Conference on Image
Processing, October 27-30, 2014, Paris, France Paris,
5626-5630.
Schörkhuber, Christian; Klapuri, Anssi; Holighaus,
Nicki; Dörfler, Monika 2014.
A Matlab Toolbox for Efficient Perfect
Reconstruction Time-Frequency Transforms with
Log-Frequency Resolution, . AES 53rd International
Conference on Semantic Audio, London, UK, January
27, 2014.
Sherstobitov, A.I.; Marchuk, V.I.; Timofeev, D.V.;
Voronin, V.V.; Egiazarian, K.O.; Agaian, S.S. 2014.
Texture descriptor based on local approximations
In: Agaian, SS; Jassim, SA; Du, EY (ed.) . Conference
on Mobile Multimedia/Image Processing, Security, and
Applications; Location: Baltimore, MA; Date: MAY 0506, 2014.
Sherstobitov, A. I; Marchuk, V.I.; Timofeev, D.V.;
Voronin, V.V.; Egiazarian, K.O. 2014.
Local feature descriptor based on 2D local
polynomial approximation kernel indices
Atanas P. (ed.) . IS&T/SPIE Image processing:
Shokrollahi Yancheshmeh, Fatemeh; Kämäräinen, JoniKristian; Chen, Ke 2014.
Discovering Multi- Relational Latent Attributes by
Visual Similarity Networks . IEEE Asian 12th
Conference on Computer Vision, Singapore, 15.11.2014 Singapore, IEEE . 112.
Shulev, Assen A.; Gotchev, Atanas 2014.
A Silding-Window Transform-Domain Technique for
Denoising of DSPI phase Maps
Smirnov, Sergey; Gotchev, Atanas 2014.
Fast hierachical cost Volume aggregation for
stereo-matching . Proceedings of the IEEE Visual
Communications and Image Processing Conference,
IEEE VCIP, Malta, December 7-10, 2014 Piscataway,
1-4.
45|
Stankovic, R.S.; Astola, J.T.; Moraga, C.; Gajic, D.B.
2014.
Constant Geometry Algorithms for Galois Field
Expressions and Their Implementation on GPUs .
2014 IEEE 44th International Symposium on MultipleValued Logic (ISMVL), 19-21 May 2014, Bremen 79-84.
Strokina, Nataliya; Juranek, Roman; Eerola, Tuomas;
Lensu, Lasse; Zemcik, Pavel; Kälviäinen, Heikki 2014.
Comparison of Appearance-Based and Geometrybased Bubble Detectors . Computer Vision and
Graphics International Conference Computer Vision
and Graphigs, ICCVG 2014, Warsaw, Poland,
September 15-17,2014 .
Lecture Notes in Computer Science vol. 8671, Warsaw,
Springer. 610-617.
Strokina, Nataliya; Kämäräinen, Joni-Kristian;
Kruusmaa, Maarja; Tuhtan, Jeffrey 2014.
FishView: environment investigation methods for
an underwater robot
In: Koskela, Markus; Heikkinen, Kari (ed.) . LUT
Scientific and Expertise Publications - Research
Reports, Federated Computer Science Event 2014, 3.4.6.2014, Lappeenranta, Finland num. 24,
Lappeenranta, Lappeenranta University of Technology .
17-18.
Syrjärinne, Paula; Nummenmaa, Jyrki; Thanisch, Peter;
Kerminen, Riitta; Hakulinen, Esa 2014.
Analyzing Traffic Fluency from Bus Data . 10th ITS
European Congress, Helsinki, Finland, 16-19.6.2014
Helsinki, ERTICO . 1-12.
Tabus, Vlad; Astola, Jaakko 2014.
Maximizing the lifetime of energy constrained
wireless sensor networks having tree topology 6th
and Signal Processing (ISCCSP); Location: Athens,
Greece; Date: May 21-23, 2014 388-391.
Thanisch, Peter; Nummenmaa, Jyrki; Syrjärinne, Paula;
Hakulinen, Esa; Kerminen, Riitta 2014.
Risking the Public Transportation Connection
Proceedings of the 10th ITS European Congress,
Helsinki, Finland, 16-19.6.2014 Helsinki,ERTICO 1-12.
Uhlmann, Stefan; Kiranyaz, Serkan; Gabbouj, Moncef
2014
Polarimetric SAR Classification Using Visual Color
Features Extracted Over Pseudo Color Images.
IEEE International Geoscience and Remote Sensing
Symposium, Melbourne, Australia, July 21 - 26, 2013
IEEE. 1999 - 2002.
Väilä, Minna; Jylhä, Juha; Perälä, Henna; Visa, Ari
2014.
Performance Evaluation of radar NCTR using the
Target Aspect and Signature 2014 IEEE Radar
Conference from sensing to information, 19-23 May,
Cincinnati, OH, USA
IEEE Radar Conference Cincinnati, IEEE. 623-628.
Vainio, Janne; Kaipainen, Kirsikka; Korhonen, Ilkka
2014.
Habit change as a learning Process: Design
framework for Mobile Intervention . 2014 IEEEEMBS International Conference on Biomedical and
Health Informatics, BHI, Valencia, Spain, June 1-4,
2014 Piscataway, Institute of Electrical and Electronics
Engineers. 801-804.
Vainio, Janne; Korhonen, Ilkka; Kenttä, Outi; Järvinen,
Joona; Kaipainen, Kirsikka 2014.
Learning healthy habits with a mobile selfintervention
In: Boll, Susanne ; Köhler, Friedrich (ed.) . Proceedings
of the 8th International Conference on Pervasive
Computing Technologies for Healthcare ,Pervasive
Health 2014, 20-23 May 2014, OFFIS Oldenburg,
Germany Brussels, ICST (Institute for Computer
Sciences, Social-Informatics and Telecummunications
Engineering . 150-157.
Värri, Alpo 2014.
Requirements for Successful Self-care Technology
Products for the Elderly
In: Mokrys, Michal; Badura, Stefan (ed.) . RCITD 2014,
Proceedings in research conference in technical
disciplines, November 17-21, 2014, Zilina, Slovakia vol.
2, num. 1, EDIS - Publishing Institution of the University
of Zilina. 86-90.
Vihonen, Juho; Honkakorpi, Janne; Koivumäki, Janne;
Mattila, Jouni; Visa, Ari 2014.
Geometry-Aided Low-Noise Angular Velocity
Sensing of Rigid-Body Manipulator Using MEMS
Rate Gyros and Linear Accelerometers . IEEE/ASME
International Conference on Advanced Intelligent
Mechatronics, Besancon, France, July 8-11, 2014
Piscataway, NJ, IEEE . 1-6.
Vinel, Alexey; Belyaev, Evgeny; Bellalta, Boris; Hu,
Honglin 2014.
Live Video Streaming in Vehicular Networks
In: Sikora, Axel; Berbineau, Marion; Vinel, Alexey;
Jonsson, Magnus; Pirovano, Alain; Aguado, Marina
(ed.) . Communication Technologies for Vehicles, 6th
International Workshop, Nets4Cars/Nets4Trains/
Nets4Aircraft 2014, Offenburg, Germany, May 6-7,
2014. Proceedings
Lecture Notes in Computer Science vol. 8435, Springer.
156-162.
Annual report 2014
Virtanen, Tuomas; Raj, Bhiksha; Gemmeke, Jort F.;
Van hamme, Hugo 2014.
Active-Set Newton Algorithm for Non-Negative
Sparse Coding of Audio . 2014 IEEE International
Conference on Acoustic, Speech and Signal processing
(ICASSP), Florence, Italy, May 4-9.2014 Picataway,
3116-3120.
Voronin, V. V.; Marchuk, V. I.; Gapon, N. V.; Sizyakin,
R. A.; Sherstobitov, A. I.; Egiazarian, K. O. 2014.
Exemplar-based inpainting using local binary
patterns
Algorithms and Systems XII, 3-5.2.2014, San Fransico,
California, USA .
Voronin, V.V.; Marchuk, V.I.; Sherstobitov, A.I.;
Semenischev, E.A.; Agaian, S.; Egiazarian, K. 2014.
Image extrapolation for photo stitching using
nonlocal patch-based inpainting . Mobile
Multimedia/Image Processing, Security, and
Applications 2014, Baltimore, MD, United States, 5-6
May 2014.
Wang, Chun; Sahin, Erdem; Suominen, Olli; Gotchev,
Atanas 2014.
Depth Estimation by Combining Stereo Matching
and Coded Aperture IEEE VCIP2014, Visual
Communications and Image Processing, December 710,2014 Malta Piscataway, Institute of Electrical and
Wu, Qingbo; Li, Hongliang; Ngan, King N.; Zeng, Bing;
No Reference Image Quality Metric via Distortion
Identification and Multi-Channel Label Transfer .
2014 IEEE International Symposium on Circuits and
Systems, (ISCAS), Melbourne, Australia, June 1-5,
2014 Melbourne, Australia, 530-533.
Xie, Weiyi; Uhlmann, Stefan; Kiranyaz, Serkan;
Incremental learning with Support Vector Data
Description . 22nd International Conference on Pattern
Recognition, ICPR 2014, 24-28 August 2014,
Stockholm, Sweden Piscataway, 3904-3909.
Zhang, Hoglei; Kiranyaz, Serkan; Gabbouj, Moncef
2014.
Cardinal Sparse Partial Least Square Feature
Selection and It's Application in Face Recognition .
Proceedings of the 22nd European Signal Processing
Conference, EUSIPCO 2014, September 1-5, 2014,
Lisbon, Portugal Piscataway, Institute of Electrical and
Zhu, Shuyuan; Zeng, Bing; Fang, Lu; Gabbouj, Moncef
2014.
Downward Spatially-Scalable image Reconstruction
based on Compressed Sensing . ICIP 2014, IEEE
International Conference on Image Processing, October
27-30,2014, Paris, France Paris, 1352-1356.
Zhu, Shuyuan; Zeng, Bing; Gabbouj, Moncef 2014.
Adaptive Reweighted Compressed Sensing For
Image Compression . 2014 IEEE International
Symposium on Circuits and Systems (ISCAS),
Melbourne, Australia. 1-5 June Piscataway, NJ, Institute
of Electrical and Electronics Engineers IEEE. 1-4.
Zhu, Shuyuan; Zeng, Bing; Gabbouj, Moncef 2014.
Texture Classification Using Joint Statistical
Representation in Space-frequency Domain with
Local Quantized Patterns . 2014 IEEE International
Symposium on Circuits and Systems (ISCAS),
Melbourne, Australia. 1-5 June 2014 Piscataway, NJ,
Institute of Electrical and Electronics Engineers IEEE.
886-889.
Other publications
Fonseca, Jose; Autio, Reija; Ribeiro, Andre; Yli-Harja,
Olli 2014.
The 11th International workshop on computational
Systems Biology WSCB 2014, May 15-16, Lisbon,
Portugal .
Tampere International Center for Signal Processing,
TICSP series num. 64, Tampere, Tampere International
Center for Signal Processing .
Forsvik, Heikki; Voipio, Ville 2014.
Tulokset kliinisen työn näkökulmasta
In: Hyppönen, Hannele; Vuokko, Riikka; Doupi,
Persephone; Mäkelä-Bengs, Päivi (ed.) . Sähköisen
potilaskertomuksen rakenteistaminen - Menetelmät,
arviointikäytännöt ja vaikutukset .
Raportti (terveyden ja hyvinvoinnin laitos) num. 31,
Helsinki, Terveyden ja hyvinvoinnin laitos . 63-73.
Jonsson, Magnus; Vinel, Alexey; Bellalta, Boris;
Belyaev, Evgeniy 2014.
Multiple Access Communications, 7th International
Workshop, MACOM 2014, Halmstad, Sweden,
August 27-28, 2014, Proceedings .
Lecture Notes in Computer Science vol. 8715,
Halmstad, Sweden, Springer International Publishing .
1-137.
Kalva, H.; Bovik, A.; Chen, H.; Egiazarian, K.; Wang, Z.
2014.
Introduction to the issue on perception inspired
video processing .
IEEE Journal on Selected Topics in Signal Processing
vol. 8, num. 3, 355-357.
47|
Kämäräinen, Joni-Kristian 2014.
Kone tunnistaa ihmisen huonostakin valokuvasta .
Helsingin sanomat B12-B13.
Kovacs, Peter Tamas; Balogh, Tibor; Konieczny, Jacek;
Cordara, Giovanni 2014.
International organisation for standardisation
organisation internationale de normalisation
ISO/IEC JTC1/SC29/WG11 coding of moving
pictures and audio . ISO/IEC JTC1/SC29/WG11
MPEG2014/M31954, January 2014, San Jose USA
num. 8, San Jose, ISO/IEC . 1-8.
Liuksiala, T.; Teittinen, K.J.; Granberg, K.; Heinäniemi,
M.; Annala, M.; Mäki, M.; Nykter, M.; Lohi, O 2014.
Overexpression of SNORD114-3 marks acute
promyelocytic leukemia .
Leukemia vol. 28, 233-236.
Värri, Alpo; Rubel, Paul; Schllögl, Alois 2014.
Interim report of EN 1064 SCP-ECG revision work
within CEN/TC215/WGIV . ISO/TC215/WG2 meeting in
Karuizawa, Japan, 20-21, May, 2014 Japan, 1-2.
Presentations
Autio, Reija 2014
Recycling high-throughput data: combining
existing data can lead to new knowledge
The 11th International Workshop on Computational
Systems Biology, WSCB, May 15-16, Lisbon, Portugal
Baby, Deepak; Virtanen, Tuomas; Gemmeke, Jort F;
Barker, Thomas; Van Hamme, Hugo 2014.
Exemplar-based Noise Robust Automatic Speech
Recognition using Modulation Spectrogram
Features 2014 Spoken Language Technology
Workshop, December 7-10,2014 South Lake Tahoe,
Nevada, USA 1-6.
Barker, Thomas; Virtanen, Tuomas 2014.
Semi-Supervised Non-Negative tensor Factorisation
of Modulation Spectrograms for Monaural Speech
Separation .
2014 International Joint Conference on neural networks
(IJCNN), July 6-11, 2014, Beijing, China Piscataway,
3556-3561.
On vehicular video applications .
7th International Workshop on Communication
Technologies for Vehicles, 6-8 October 2014, SaintPetersburg, Russia
Chandraseelan, Jerome G.; Lloyd-Price, Jason; YliHarja, Olli; Ribeiro, Andre S. 2014.
Estimating the Duration of Open Complex
Formation From in Vivo Measurements .
Gnanavel, Mutharasu; Yli-Harja, Olli; Kandhavelu,
Decoding the Glioblastoma Multiforme mechanism
by deciphering the GPR17 networks .
BioMediTech Research Day 5th December, 2014
Goncalves, Nadia; Venkata, Ramakanth N.;
Martikainen, Antti; Santinha, Joao A.; Fonseca, Jose
m.; Ribeiro, Andre 2014.
In Vivo Retention of Protein Aggregates in
Escherichia Coli .
Huttunen, Heikki 2014.
Yritysyhteistyön mahdollisuudet
Tampere Mediapolis Matchmaking: Yritys ja oppilaitos
yhteistyössä, Tampere, 19.11.2014
Jimison, Holly; Korhonen, Ilkka; Saranummi, Niilo;
Pavel, Misha; 2014.
Behavior Change Models for Health Coaching
Interventions
36th Annual International Conference of the IEEE
Engineering in medicine and Biology Society
(EMBC'14), 26-30 August, 2014, Chicago, IL, USA
Korhonen, Ilkka; Pietilä, Julia; Helander, Elina;
Mutikainen, Sara; Myllymäki, Tero; Kujala, Urho; Pavel,
Misha; Jimison, Holly 2014.
Use of Wearable Heart Rate Data for Estimation
Behaviors during Daily Life
Engineering in medicine and Biology Society
(EMBC'14), 26-30 August, 2014, Chicago, IL, USA
Lin, Jake; May, Patrik 2014.
Systemic Intergration and Exploration of Genomic
Variants
Martikainen, Antti; Neeli-Venkata, Ramakanth; Moreira
Goncalves, Nadia; Ribeiro, Andre 2014.
Effects of the nucleoid's structural plasticity on the
robustness of retention of unwanted protein
aggregates at the cell poles in Escherichia coli .
Lyon SysBi, Systems Biology, 19-21 November, 2014,
Lyon, France Lyon, 55-55.
Annual report 2014
Martins, Leonardo; Ribeiro, Andre; Fonseca, Jose
2014.
Generator of Synthetic Time-lapsed, PhaseContrast Microscopy Images of Growing E.Coli Cell
Populations
Moradi, E.; Gaser, C.; Huttunen, H.; Tohka, J. 2014.
MRI based dementia classification using semisupervised learning and domain adaptation .
Workshop CADDementia, Challenge on ComputerAided Diagnosis of Dementia Based on Structural MRI
Data, 18th September 2014, MICCAI 2014, September
14-19, 2014, Boston USA Boston,
Moradi, Elaheh; Gaser, Christian; Pepe, Antonietta;
Huttunen, Heikki; Tohka, Jussi 2014.
Semi-Supervised learning for early MRI-based MCIto-AD conversion prediction .
The 20th Annual Meeting of the Organization for
Human Brain Mapping, June 8-12, 2014, CCHCongress Center in Hamburg, Germany
Mutharasu, Gnanavel; Kandhavelu,
Advances in understanding noisy Signal
Transmission in neuronal cancer Cells - GPR17 as a
Case Study .
Mutharasu, Gnanavel; Yli-Harja, Olli; Kandhavelu,
Protein-protein interaction and coarse grained
simulation study of Glioblastoma Multiforme
reveals novel pathways of GPR17 .
Nihtiä, Tomi; Jylhä, Juha 2014.
High-Resolution Acoustic Imaging in Air by
Synthetic Aperture using Pixel Matched Kernels .
IEEE sensors: proceedings .
IEEE SENSORS 2014 Conference, Valencia, Spain,
November 2-5,2014 1-16.
Nihtilä, Tomi; Jylhä, Juha; Visa, Ari 2014.
High- Resolution Acoustic Imaging in Air by
Synthetic Aperture Using Pixel-Wise Matched
Kernels . Proceedings of IEEE SENSORS 2014,
Conference, November 2-5, 2014, Valencia, Spain, .
IEEE SENSORS 2014 Piscataway, Institute of Electrical
Niiranen, Samuli 2014.
Convergence in Clinical Diagnostics .
Oliveira, Samuel M.D.; Chandraseelan, Jerome G.;
Häkkinen, Antti; Yli-Harja, Olli; Ribeiro, Andre S. 2014.
Analysis of the Robustness of a Single copy
Repressilator .
Pajula, Juha; Kauppi, Jukka-Pekka; Tohka, Jussi 2014.
A versatile Software Package for Inter-subject
Correlation Based Analyses of fMRI .
Human Brain Mapping, June 8-12, 2014, The CCHCongress Center in Hamburg, Germany
Palanivel, Suresh; Kandhavelu, Meenakshisundaram
2014.
Analysis of Ca2+ and cAMP signaling regulated by
GPR17 at single cell level .
BioMediTech Research Day 5th December, 2014
Pepe, Antoinetta; Dinov, Ivo; Tohka, Jussi 2014.
An Automatic Framework for Quantative Validation
of VBM Measures of Anatomical Brain Asymmetry .
Pollick, Frank; Grosbrass, Marie-Helene; Kauppi,
Jukka-Pekka; Tohka, Jussi 2014.
Using Intersubject Correlation to Compare brain
activity across several audiovisual dance videos .
Human Brain Mapping, June 8-12, 2014, the CCHCongress Center in Hamburg, Germany
Ribeiro, Andre 2014.
Effects of stress on the in vivo dynamics of nonstress-responsive genes in Escherichia coli .
Sahin, Erdem; Wang, Chun; Gotchev, Atanas 2014.
Depth esitimation: What can we gain by utilizing
coded apertures?. 3dtv-conference: the true vision capture, transmission and display of 3D
2014 3DTV-Conference : The True Vision - Capture,
Transmission and Display of 3D Video (3DTV-CON), 24 July 2014, Budapest, Hungary
Santinha, Joao; Häkkinen, Antti; Gupta, Abhishehkh;
Annila, Teppo; Lloyd-Price, Jason; Ribeiro, Andre;
Fonseca, Jose 2014.
Image Aligment and Lineage Construction Tool to
Study Segregation and Partitioning in Division of
Unwanted Protein Aggregates in Escherchia Coli .
49|
Sherstobitov, A. I; Marchuk, V.I.; Timofeev, D.V.;
Voronin, V.V.; Egiazarian, K.O. 2014.
Local feature descriptor based on 2D local
polynomial approximation kernel indices
Shulev, Assen A.; Gotchev, Atanas 2014
A Silding-Window Transform-Domain Technique for
Denoising of DSPI phase Maps
Tabus, Ioan; Astola, Pekka 2014.
Sparse Prediction for Compression of stereo Color
Images Conditional on Constant Disparity Patches .
3DTV-Conference: The True Vision - Capture,
Budapest, 2-4 July 2014 .
3dtv-conference: the true vision - capture, transmission
and display of 3d video Piscataway, Institute of
Electrical and Electronics Engineers . 1-4.
Värri, Alpo; Rubel, Paul; Schlögi, Alois 2014.
withhin CEN/TC251/WG2
SO/TC215/WG2 meeting in Karuizawa, Japan, 20-21,
May, 2014
Värri, Alpo, Rubel, Paul; Schlögi, Alois 2014.
withn CEN/TC251/WGIV .
Meeting in Karuizawa, Japan, May 20, 2014
Yli-Harja, Olli 2014.
Big data, Machine learning, and Cancer
Systems Biology, WSCB 2014, May 15-16, Lisbon,
Portugal
Ylipää, Antti; Nykter, Matti 2014.
Identifying Previously Unnotated Cancer Specific
Transcripts using RNA-Sequencing .
Editor and review duties
Belyaev, Evgeny 2014
EURASIP Journal on Wireles Communications and
Networking
Tohka, Jussi; Pajula, Juha; Jääskeläinen, Iiro; Kuo,
Wen-Jui; Lin, Fa- Hsuan 2014.
FMRI Inter-subject correlations during viewing of
comedy movies explained by experienced humor .
IEEE Transactions on Multimedia
Värri, Alpo 2014.
Report of CEN/TC251/WGIV including the
ISO/TC215 report from Karuizawa .
CEN/TC251 meeting in Bussels, Belgium, June 25,
2014
Reviewer of Scientific Journal
IEEE Journal of Selected Topics in Signal Processing
Värri, Alpo 2014
Status report of the revision of the EN 1064 (and
ISO 91064) Standard. standard Communication
Protocol - Computeer - Assisted
Electrocardiography, Alpo Värri .
ISO/TC215/WG2 Meeting, Berlin, Germany, October 7,
2014
Värri, Alpo 2014
TST-01700 Tehtävä ulkomailla, TTY:n Amazing Race
Tampere Mediapolis Matchmakiing: Yritys ja oppilaitos
yhteistyössä, Tampere, 19.11.2014
Technology
IEEE Transactions on Vehicular Technology
Reviewer of scientific journals
IEEE Communication Letters
Bregovic, Robert 2014
Review of scientific journal
IEEE Transactions on Signal Processing
Review of Scientific journal
Signal processing
Annual report 2014
Reviewer of scientific journal
Digital Signal processing
Dumitrescu, Bogdan 2014
Numerische Mathematik
IEEE Transactions on Circuits and Systems I-regular
papers
Reviewer of Scientific journal
Journal of Electrical and Computer Engineering
The Journal of Signal Processing Systems
IEEE transactions on circuits and systems ii-express
briefs
Bugdayci Sansli, Döne 2014
ACM transactions on multimedia computing
communications and applications
Reviewer of scientific of journal
Mathematical Reviews
Reviewer of scintific journal
Mathematical Problems in Engineering
Egiazarian, Karen 2014
Member of editorial board
Telecommunication and Radio Engineering
Egiazarian, Karen 2014
Member of editorial board
Mathematical Problems in Engineering
Bugdayci Sansli, Döne 2014
Technology
Foi, Alessandro 2014
Associate Editor
IEEE Transactions on Computational Imaging
Reviewer of scientific journal .
Digital Signal processing
IEEE Transactions Image Processing
IEEE Transactions on Neural networks and learning
Systems
IEEE Transactions on Circuits and Systems
Circuits Systems and Signal Processing
Signal Processing Letters
Automatica
Signal Processing
Gabbouj, Moncef 2014
Reviewer of book manuscript
Pearson North America
The Journal of Engineering research
Helander, Elina 2014
Processing
Hurmalainen, Antti 2014
Expert Systems with Applications
Digital Signal Processing
51|
Computer Speech and Language
Pertilä, Pasi 2014
The Scientific World Journal
Huttunen, Heikki 2014
IEEE Transactions on Image Processing
Pertilä, Pasi 2014
Processing
Journal of Electronic Imaging
Machine Vision and Applications
Ruotsalainen, Ulla 2014
Frontiers in neuroscience
Physics in Medicine and Biology
IEEE Transactions on Biomedical Engineering
Joachimiak Michal 2014
Transactions of the Wisconsin Academy of Sciences,
Arts and Letters
Sahin, Erdem 2014
Signal, Image and Video Processing
Joachimiak, Michal 2014
IEEE Signal Processing Letters
Saramäki, Tapio 2014
Digital Signal Processing
Kämäräinen, Joni-Kristian 2014
Robotica
Schiopu, Ionut 2014
Technology
Pattern Recognition Letters
IET Computer Vision
Korhonen, Ilkka 2014
Reviewer of scientific article
Medical & Biological Engineering & Computing Saksa,
Heart
Pertilä, Pasi 2014
IEEE Transactions on Vehicular Technology
Pertilä, Pasi 2014
Sensors
Silen, Hanna 2014
Speech communication
Tohka, Jussa 2014
Computer methods and Programs in Biomedicine
Tohka, Jussi 2014
Image analysis and stereology
Tohka, Jussi 2014
Human Brain Mapping
Tohka, Jussi 2014
IEEE Transaction on medical Imaging
Tohka, Jussi 2014.
Computer in Biology and Medicine
Annual report 2014
Tohka, Jussi 2014
Electronic Letters
Virtanen, Tuomas 2014
Austrian journal of earth sciences
Uhlmann, Stefan 2014
Reviewer of science journal
Remote Sensing of Environment
Virtanen, Tuomas 2014.
Signal Processing
IEEE Geoscience and Remote Sensing Letters
Yli-harja, Olli 2014
Proceedings of the National Academy of Sciences of
the United States of America
IEEE Transactions on Geoscience and Remote
Sensing
International journal of remote sensing
ISPRS Journal of Photogrammetry and Remote
Sensing
Remote Sensing
Vihonen, Juho 2014
Measurement science and technology
Journal of Acoustical Society of America
MM - Maschinenmarkt
IEEE Signal Processing Letters
Processing Piscataway
Digital signal processing
Examiners/Opponents of Dissertations
Autio, Reija 2014
Pre-examination of Doctoral thesis: Faisal, Ali:
Retrieval of Gene expression measurements with
probabilistic models
Aalto yliopisto
Pre-examination of doctoral thesis: Hachicha,
Walid: Towards efficient methods for stereo image
processing, coding and quality assessment
Universite paris 13 - Institut galilee
Pre-examination of Doctoral thesis: Kavitha.C.T.
Development of fusion algorithms for multimodal
brain images
Anna University, Chennai
Opponent of Doctoral thesis: Huang, Xiaohua,
Methods for facial expression recognition with
applications in challenging situations
Oulun yliopisto 11.12.204
Pre-examination of Doctoral thesis: Sjöberg, Mats:
From pixels to semantics: visual concepts
detection and its applications
Aalto yliopisto
Pre-examination of doctoral thesis: Varnfield,
Marlien: Evaluation of information and
communication technology platforms to improve
self-management of chronic disease
Monash University, Institute of graduate Research,
Australia
Examination of doctoral thesis: Kangasmaa, Tuija;
Evaluation and optimization of novel reconstruction
methods for myocardical pefusion SPECT
Itä-Suomen Yliopisto 29.8.2014
53|
Saramäki, Tapio 2014.
Examination of Doctoral thesis: Sherazi,
S.M.Yasser, Design Space Exploration of Digital
Circuits for Ultra-low Energy Dissipation
Department of Electrical and Information Technology,
Faculty of Engineering, LTH, Lund University, Sweden,
17.01.2014
Saramäki,Tapio 2014
Opponent of Doctoral thesis: D'Angelo, Stefano:
Virtual Analog Modeling of Nonlinear Musical
Circuits
Aalto yliopisto 21.11.2014
Värri, Alpo 2014
Opponent of Doctoral thesis: Zhang, Youming:
Biometric Verification of a Subject Based on Data
Mining of Saccade Eye Movement Signals
Tampereen yliopisto 21.2..2014
Opponent of Doctoral thesis: Cemil Demir: SingleChannel Speech-Music Separation for Robust ASR
with Mixture of NMF Models
Bilkent University, Ankara, Turkki
Visa, Ari 2014
Opponent of Doctoral thesis: Lindh-Knuutila, Tiina;
Computational Modeling and Simulation of
language and meaning: Similarity-Based
Approaches
Aalto Yliopisto 9.5.2014
Yli-Harja, Olli 2014
Pre-examination of Doctoral thesis: Adhikari, Raj:
Probabilistic Modelling of Multiresolution Biological
Data
Aalto yliopisto, 5.8.2014
Yli-Harja, Olli 2014.
Pre-examination of doctoral thesis: Malm, Patrik:
Image Analysis in Support of Computer-assisted
Cervical Cancer Screeening
Uppsala University, 7.2.2014
Expert Reports
Evaluator one research proposal
The Czech-Norweigian reseach Programme
Evaluation of research proposal
Swiss national Science Foundation
Conference Scientific or Organizing
Committee Memberships
Boev, Atanas; Gotchev, Atanas; Sahin, Erdem;
Georgiev, Mihail; Suominen, Olli; Bregovic, Robert;
Vagharshakyan, Suren; Katkovnik, Vladimir; Larmila,
Virve; Lackner, Kristof; Kovacs, Peter Tamas 2014.
General Chair, Technical Program Chair, Publicity
Chair, Finance and Registration Chair, Publication
Chair, Member of Local Organizing Committee,
Member of Program Committee .3dtv-conference: the
true vision - capture, transmission and display of 3D .
3DTV-Conference: The true Vision - Capture,
transmission and display of 3D Video (3DTV-CON)
Egiazarian, Karen; Gotchev, Atanas 2014.
Conference Chair
IS&T/SPIE Image Processing: Algorithms and Systems
XII
Member of international program committee
International Conference on Digital Signal Processing,
DSP 2014
Member of Steering committee
IEEE Big Data Conference
Member of Technical Program Committee
CBMI 2014, 12th International Workshop on Contentbased Multimedia Indexing
Special Session Co-Chair
IEEE VCIP 2014, Visual Communications and Image
processing
Gabbouj, Moncef; Astola, Jaakko 2014Technical
Program Committee Co-chair, Member of Technical
Program Committee
6th International symposium on communications,
control & Signal processing
Gabbouj, Moncef; Egiazarian, Karen; Tabus, Ioan 2014.
General Chair, Member of Technical Committee,
Member of Advisory Committee EUVIP2014, 5th
International Workshop on Visual Information
Processing
Gabbouj, Moncef; Saramäki, Tapio 2014
Track Chair
International Symposium on Circuits and Systems
(ISCAS 2014)
Annual report 2014
Joachimiak, Michal 2014.
Member of Program Committee
10th International Conference on Signal Image
Technology and Internet Based Systems, SITIS 2014,
Marrakech, Morocco, Nov. 2014
Member of Technical Committee
BHI2014, International Conference on Biomedical and
Health Informatics
The Wireless Health 2014 Scientific Conference
Member of Technical Program Committee .
4th International Conference on Wireless Mobile
Communication and Healthcare- "Transforming
healthcare through innovations in mobile and wireless
technologies"
Korhonen, Ilkka 2014.
8th International Conference on pervasive Computing
Technologies for Healthcare
Saramäki, Tapio 2014.
International Technical Program Committee
Member
DSPA-2014, the16th International Conference on
Digital Signal Processing and its Applications, March
26-28, 2014, Moscow, Russia
Yli-Harja, Olli 2014
Chair
BiomediTech Research day 5th December, 2014, TTY,
Tietotalo, Tampere, Finland
Yli-Harja, Olli; Autio, Reija; Ribeiro, Andre; Kandhavelu,
Chair; Member of Scientific Committee; Member of
Organizing Committee
11th International Workshop on Computational Systems
Biology
Boev, Atanas 2014
Chair of a session
XII, 3-5.2.2014, Ans Francisco, California, USA
Bregovic, Robert 2014.
Chair of session
XII. 3-5.2.2014, San Francisco, Calfornia, USA
Chair of a session IS&T/SPIE, Image Processing:
Francisco, California, USA
Chair of a session
ICASSP2014, IEEE International Conference on
Acoustics, Speech and Signal Processing, May 49,2014, Florence, Italy
Meenakshisundaram Kandhavelu 2014
Chair of a session : 16th May 2014 Session C .
Portugal
Ribeiro, Andre 2014
Chair of session : 15th May 2014 Session A .
Portugal
Sahin, Erdem 2014
Chair of session
3DTV-Conference 2014, July 2-4.2014, Budabest,
Hungary
Chair of session
ISCAS 2014, IEEE International Symposium on Circuits
and systems, June 1-5, 2014, Melbourne,
AustraliaChair of session
Conference Workshop/Session Chair
Vihonen, Juho 2014
Chair of session
AIM National Conference 2014, June 19-21, Dudley
Autio, Reija 2014
Chair of a session: 15th May 2014 Session B
Portugal
Ylipää, Antti 2014
Chair of a session: 16th May 2014 Session D
Portugal
Belayaev, Evgeny 2014
Chair of a session
7th International Workshop on Multiple Access
Communications, MACOM 2014, Halmstad, Sweden,
August 27-28, 2014.
55|
Reviewer of Conference Articles
Bregovic, Robert 2014.
Reviewer of conference article European signal
processing conference
Eusipco 2014, 22nd European Signal Processing
Conference, 1-5 September 2014, Lisabon, Portugal
Reviewer of conference article
ISCAS 2015, International Symposium on Circuits and
Systems, 24-27 May 2015, Lisbon, Portugal
Defee, Irek 2014
and Signal Processing
2014 IEEE International Conference on Acoustics,
Speech, and Signal Processing (ICASSP) 4-9 May
2014, Florence, Italy
Defee, Irek 2014
Reviewer of conference article IEEE international
conference on image processing
ICIP 2014, IEEE International Conference on Image
Processing, October 27-30,2014, Paris, France
Defee, Irek 2014.
Reviewer of conference article International
conference on connected vehicles and expo .
ICCVE 2014, The 3rd International Conference on
Connected Vehicles and Expo, November 3-7, 2014,
Vienna, Austria
Defee, Irek 2014.
IAIE world conference, Oct. 29th-Nov.1st , 2014,
Nashville, USA
Reviewer of conference article European Workshop
on Visual Information Processing .
EUVIP 2014, 5th European Workshop on Visual
Information Proseccing, December 10-12, 2014, Paris
Reviewer of conference article . IEEE International
Symposium on Circuits and Systems
2014 IEEE International symposium on Circuit and
systems (ISCAS) , June 1-5, 2014, Australia
ECCV 2014, European Conference of Computer Vision,
Zurich, September 6-12, 2014
2014 IEEE Conference on Computer Vision and Pattern
Recognition, (CVPR), June 24-27, Columbus, Ohio
Reviewer of conference articles
International
conference on pattern recognition
22nd International conference on Pattern Recognition
Peltonen, Sari 2014
The IEEE International Symposium on Circuits and
Systems, ISCAS 2015, 24-27 May, 2015, Lisbon,
Portugal
Pertilä, Pasi 2014
Reviewer of conference article European signal
processing conference
EUSIPCO 2014 22 nd European Signal Processing
Conference, 1-5.9.2014, Lisbon, Portugal
Sahin, Erdem 2014
Reviewer of conference article 3dtv-conference: the
true vision - capture, transmission and display of 3d
video
2014 3DTV-Conference : The True Vision - Capture,
Transmission and Display of 3D Video (3DTV-CON) 2-4
July 2014, Budapest, Hungary
Reviewer of conference articles
ISCAS 2015, 2015 IEEE International Symposium on
Circuits and System, May 24-27, 2015, Lisbon, Portugal
Schiopu, Ionut 2014
The IEEE International Symposium on Circuits and
Systems, ISCAS 2015, 24-27 May, 2015, Lisbon,
Portugal
Värri, Alpo 2014
Reviewer of conference article . International
Conference on Next Generation Wired/Wireless
Advanced Networks and Systems
The 14th International Conference on Next Generation
Wired/Wireless Advanced Networks and Systems,
NEW2AN 2014, August 27-29, 2014, St. Petersburg,
Russia
Annual report 2014
Värri, Alpo 2014
Reviewer of conference article Annual international
conference of the IEEE engineering in medicine and
biology society .
Engineering in Medicine and Biology Society
(EMBC’14), 26-30 August, 2014, Illinois, USA
Awards, Rewards and Nominations
Reviewer of conference article International joint
conference on neural networks
The 2014 International Joint Conference on Neural
Networks (IJCNN2014)
Tunnustuspalkinto
IEEE Circuits and Systems Society
ISCCP2014 Annual Conference, Kolkata, 22-23
February, India Intia,
Reviewer of conference article. Joint workshop on
hands-free speech communication and microphone
arrays
HSCMA, 4th Joint workshop on Hands-free Speech
Communication and Michrophone Arrays Ranska
Reviewer of conference article. IEEE International
Conference on Acoustics, Speech and Signal
Processing
and Signal Processing, ICASSP 2014, Florence, Italy,
May 4-9, 2014 Italia
Reviewer of conference article, European Signal
Processing Conference
EUSIPCO2014, 22nd European Signal Processing
Conference, 1.-5.9.2014, Lisbon, Portugal
Reviewer of conference article 17th International
Conference on Digital Audio Effects (DAFx-14),
Erlangen, Germany, September 1-5, 2014
International Conference on Digital Audio Effects
GlobalSIP 2014, The 2nd IEEE Global Conference on
Signal and Information Processing, December 3-5,
2014. Atlanta, Georgia, USA
Aytekin, Caglar; Kiranyaz, Serkan; Gabbouj, Moncef
2014
IBM Best Student Paper Award
22nd International Conference on Pattern Recognition,
Mäkitalo, Markku 2014
Best PhD Award: Exact Unbiased Inverse of the
Anscombe Transformation and its PoissonGaussian Generalization
Hahmontunnistustutkimuksen seura ry; Pattern
Recognition Society Finland
57|
Tampere University of Technology
Department of Signal Prosessing
Korkeakoulunkatu 1
PL 553
33101 Tampere, Finland

Annual Report 2014_revised2 [ X086740 ]

Transcription

Similar documents

IEEE SB Chapter Electron Devices Universidad de San

Getting Started with Your Search

Internet Communication Beyond the Barrier of Death

IEEE Northern Canada Section Newsletter

Poster - Centre for Intelligent Machines

PDF Version - IEEE Control Systems Society

pharmacy - Cooper

announcement and call for papers

TRACe-NET xM8P2G-1

SMC8508T Datasheet