we are pleased to inform you of the followingÂ specialÂ issueÂ onÂ sparseÂ codingÂ of the international journal of computer vision (IJCV). Â We are welcoming contributions developing novelÂ sparseÂ codingÂ techniques for computer vision and image processing problems, novel applications ofÂ sparseÂ coding, as well as theoretical contributions that are relevant to computer vision.
The submission deadline is January 31st, 2014.
For more information, please see theÂ callÂ ofÂ papersÂ below, and feel free to contact the editors of thisÂ issueÂ for further questions.
1st Call for Papers
1st Call for special sessions, workshops, demonstrations
ICANN 2014: 24th Annual Conference on Artificial Neural Networks
15 – 19 September 2014, University of Hamburg, Germany
The International Conference on Artificial Neural Networks (ICANN)
is the annual flagship conference of the European Neural Network
Society (ENNS). In 2014 the University of Hamburg will organize
the 24th ICANN Conference from 15th to 19th September 2014 in
Christopher M. Bishop (Microsoft Research, Cambridge, UK)
Yann LeCun (New York University, NY, USA)
Kevin Gurney (University of Sheffield, Sheffield, UK)
Barbara Hammer (Bielefeld University, Bielefeld, Germany)
Jun Tani (KAIST, Daejeon, Republic of Korea)
Paul Verschure (Universitat Pompeu Fabra, Barcelona, Spain)
Stefan Wermter (Hamburg, Germany)
Alessandro E.P. Villa (Lausanne, Switzerland, ENNS President)
Wlodzislaw Duch (Torun, Poland & Singapore, ENNS Past-President)
Petia Koprinkova-Hristova (Sofia, Bulgaria)
Cornelius Weber (Hamburg, Germany)
Timo Honkela (Helsinki, Finland)
Local Organizing Committee Chairs:
Sven Magg, Johannes Bauer, Jorge Chacon, Stefan Heinrich, Doreen
Jirak, Katja Koesters, Erik Strahl
Hamburg is the second-largest city in Germany, home to over
1.8 million people. Situated at the river Elbe, the port of Hamburg
is the second-largest port in Europe. The University of Hamburg is
the largest institution for research and education in the north of
The venue of the conference is the ESA building of the University
of Hamburg, situated at Edmund-Siemers-Allee near the city centre
and easily reachable from Dammtor Railway Station. Hamburg Airport
can be reached easily via public transport.
ICANN 2014 will feature the main tracks Brain Inspired Computing and
Machine Learning research, with strong cross-disciplinary
interactions and applications. All research fields dealing with
Neural Networks will be present at the conference.
A non-exhaustive list of topics includes:
Brain Inspired Computing: Cognitive models, Computational
Neuroscience, Self-organization, Reinforcement Learning, Neural
Control and Planning, Hybrid Neural-Symbolic Architectures,
Neural Dynamics, Recurrent Networks, Deep Learning.
Machine Learning: Neural Network Theory, Neural Network Models,
Graphical Models, Bayesian Networks, Kernel Methods, Generative
Models, Information Theoretic Learning, Reinforcement Learning,
Relational Learning, Dynamical Models.
Neural Applications for: Intelligent Robotics, Neurorobotics,
Language Processing, Image Processing, Sensor Fusion, Pattern
Recognition, Data Mining, Neural Agents, Brain-Computer
Interaction, Neural Hardware, Evolutionary Neural Networks.
WORKSHOPS and SPECIAL SESSIONS:
ICANN 2014 invites workshops covering current research in neural
networks. A workshop proposal should include: title, outline,
expected enrollment, and organizer biography.
The ICANN 2014 Program Committee solicits also proposals for special
sessions within the technical scope of the conference. Special
sessions, to be organized by international recognized experts, aim to
bring together researchers in special focused topics. Papers submitted
for special sessions are to be peer-reviewed with the same criteria
used for the contributed papers. Proposals should include the session
title, a brief description of the scope and motivation, biographic
and contact information of the organizers.
We invite you to submit proposals for Workshops and Special Sessions
to the following email address: ICANN2014@informatik.uni-hamburg.de
Papers of maximum 8 pages length will be refereed to international
standards by at least three referees. Accepted papers of contributing
authors will be published in Springer-Verlag Lecture Notes in
Compute Science (LNCS) series. Submission of papers will be online.
More details are available on the conference web site.
ICANN 2014 will host demonstrations to showcase research and applications
of neural networks. Demonstrations are self-contained,
i.e. independent of any presented talk or poster. For a demonstration
proposal, we request a 1-page description of your demonstration and
its features. Later, you will communicate which resources (space /
duration / projector / internet / etc.) you require. Decisions about
demonstrations will be made within two weeks after submission
deadline. A full conference registration is required for the
We invite you to submit proposals for Demonstrations to:
As in previous years, the European Neural Network Society (ENNS) plans
to offer around 10 student travel awards of 400 Euro each for students
presenting papers. Only papers that have been considered positively
by at least two reviewers can be considered. The selection considers
only papers that have been accepted and is based on the ranking
established by the referees during the procedure of paper evaluation.
The deadline for sending the Travel Grant application (that includes
a Letter of Interest to the PC chairs, Studentship Proof and detailed CV
of the candidate) is the 14th of April, 2014. The award will be sent to
the student by 28th April and paid during the conference. More details
will be provided on the website nearer the time.
Special session / workshop proposals: 15 January 2014
Submission of full papers: * 17 February 2014 *
Notification of acceptance: 7 April 2014
Submission of Demonstration proposals: 21 April 2014
Camera-ready paper and registration: 5 May 2014
Conference dates: 15-19 September 2014
Professor Dr. Stefan Wermter
Chair of Knowledge Technology
Department of Computer Science
University of Hamburg
Vogt Koelln Str. 30
22527 Hamburg, Germany
[visionlist] 2014 ACM Int’l Conference on Multimodal Interaction (ICMI 2014) – Call For Multimodal Grand ChallengesPosted: November 29, 2013
After a successful special issue on IEEE T-Cybernetics (computer vision for RGB-D sensors http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6221036), we would like to edit a Springer book, which intends to collect the most recent innovations in RGB-D based computer vision and machine learning fields. Here is the call for book chapter.
[visionlist] Postdoctoral/Research Assistant position in Experimental/computational Vision/Neuroscience available in University College London (UK)Posted: November 28, 2013
The laboratory of Zhaoping Li in University College London (UK) has such
a position opening. The research interest of her lab is mainly focused
on vision, using both computational and psychological methods. It is not
necessary for a candidate to be skilled in both the computational and
experimental aspects, but must be skilled in one of them. The lab also
collaborates with other researchers including those working on
physiology and functional fMRI, and research projects beyond vision are
also of interests. More details of the research interests are at
http://www.cs.ucl.ac.uk/staff/Zhaoping.Li/ We are looking for a talented
individual for a position which is for about 2 years and renewable.
Interested individuals please contact Zhaoping Li at email@example.com,
send a CV and a Statement of Research Interests to apply.
A PhD Studentship on the topic of individual differences in attention is available at the University of Sussex.
Project title:Â Vulnerability to attention problems – beyond cognitive control.
Supervisor: Dr Sophie Forster (School of Psychology, University of Sussex)
Candidates must have, or expect to obtain, a First or a high Upper Second Class Honours undergraduate degree, or equivalent qualification, and/or a Master’s degree in Psychology or a related discipline.Â Candidates may not be eligible for the full award if they do not meet UK residency requirements.
Further details of the project, funding, eligibility and the application process can be found at:
If you wish to discuss the details of this PhD project further, please contact Dr Sophie Forster:Â S.Forster@sussex.ac.uk
Join the Deep Learning team that won more international competitions in machine learning and pattern recognition than any other research group [1-6], and the first team to create superhuman visual classifiers . We are at the Swiss AI Lab IDSIA , in the world’s leading science nation , also the world’s most competitive country for the 5th year in a row  – since 2009, when our neural networks (NN) became the first Deep Learning systems to win official international contests . We are especially interested in candidates applying for our prestigious Marie Curie Experienced Researcher Fellowship connected to the ProtoTouch project (a postdoctoral position) . We offer a highly competitive Swiss salary. Please follow the instructions . Deadline 8 December 2013 (right after NIPS).
 Deep Learning since 1991 – our deep NN have, so far, won 9 important contests in pattern recognition, image segmentation, object detection http://www.deeplearning.it
 First superhuman visual pattern recognition in an official international competition (with secret test set known only to the organisers) – twice better than humans, three times better than the closest artificial NN competitor, six times better than the best non-neural method http://www.idsia.ch/~juergen/superhumanpatternrecognition.html
 Our deep NN won both the MICCAI 2013 Grand Challenge and the ICPR 2012 contest on Mitosis Detection (important for cancer prognosis etc, perhaps the most important application area of Deep Learning)http://www.idsia.ch/~juergen/deeplearningwinsMICCAIgrandchallenge.html
 Our deep NN won the ISBI’12 brain image segmentation challenge (relevant for the billion € brain projects in EU and US) http://www.idsia.ch/~juergen/deeplearningwinsbraincontest.html
 2009: First international competitions won by Deep Learning (deep LSTM recurrent neural networks for connected handwriting) http://www.idsia.ch/~juergen/handwriting.html
 Overview: My first Deep Learner of 1991 + Deep Learning timeline 1962-2013 (also summarises the origins of backpropagation, still the central algorithm of Deep Learning) http://www.deeplearning.me
 The Swiss AI Lab IDSIA http://www.idsia.ch/
 The world’s leading science nation with the most Nobels/patents/citations/funding per capita
 Global Competitiveness Reports 2009-2013 http://en.wikipedia.org/wiki/Global_Competitiveness_Report
 ProtoTouch project http://cordis.europa.eu/projects/rcn/105932_en.html
 Get a job! http://www.idsia.ch/~juergen/eu2013.html