Academic post at Edinburgh University: School of Informatics (in the area of Computer Vision): App Deadline Oct 29!!

RE: academic post in Design Informatics, including Computer Vision

The School of Informatics at The University of Edinburgh is inviting applications for a academic post in Design-Informatics, including areas of Computer Vision.
The post is advertised for a Lecturer (Assistant Professor) but more senior appointments may be considered. Relevant areas of desired expertise include (one or more of):

* Computer vision and other sensing systems, including embedded realtime vision systems.

* Interactive media, animation and augmented reality.

* Data transduction, in which designs give the ability to make sense of complex datasets through visualization, sound or haptic feedback.

* Exploration of design spaces, including those associated with computer systems (from microprocessors through operating systems to networks) and with data sets and data visualization.

* Design of software, including interface design and visualization but also including design-related aspects of the semantics and structure of software systems.

* Design for ubiquitous technologies, including social signaling and other systems for harnessing mass information through design of ubiquitous devices or monitoring of social interactions and social spaces.

* Cognition and communication in the process of design, including mental models and user-centred design.

The School of Informatics is one of the internationally leading research departments, covering most areas of artificial intelligence, cognitive science and computer science. The University of Edinburgh is consistently ranked by both the Times Higher Education Supplement and the Guardian Education Supplement as one of the world’s top universities.
Edinburgh is one of the most attractive and desirable living locations in the world.

Details of the post and the application procedure can be found at: http://www.jobs.ed.ac.uk/vacancies/index.cfm?fuseaction=vacancies.furtherdetails&vacancy_ref=3013456

Informal enquiries about the position can be made to any of:

Professor Sethu Vijayakumar
Telephone: +44 131 651 3444
Email: (sethu.vijayakumar(at)ed.ac.uk)

Professor David Robertson,
Head of School of Informatics
Telephone+44 131 650 2709
Email: (dr(at)inf.ed.ac.uk)

Professor Jon Oberlander
Telephone: +44 131 650 4439
Email: (jon(at)inf.ed.ac.uk).

Apply online at: www.jobs.ed.ac.uk.
Post Application Reference: 3013456
Closing date: 29 October 2010

NIPS workshop: Machine Learning for Next Generation Computer Vision Challenges

Call for contributions for a NIPS workshop: Machine Learning for Next Generation Computer Vision Challenges

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Website: http://sites.google.com/site/mlngcvc/

Submission deadline: 23:59, GMT, 18th October, 2010

Workshop overview:

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This workshop seeks to excite and inform researchers to tackle the next level of problems in the area of Computer Vision. The idea is to both give Computer Vision researchers access to the latest Machine Learning research, and also to communicate to researchers in the machine learning community some of the latest challenges in computer vision, in order to stimulate the emergence of the next generation of learning techniques. The workshop itself is motivated from several different points of view:

1. There is a great interest in and take-up of machine learning techniques in the computer vision community. In top vision conferences such as CVPR, machine learning is prevalent: there is widespread use of Bayesian Techniques, Kernel Methods, Structured Prediction, Deep Learning, etc.; and many vision conferences have featured invited speakers from the machine learning community.
2. Despite the quality of this research and the significant adoption of machine learning techniques, often such techniques are used as “black box” parts of a pipeline, performing traditional tasks such as classification or feature selection, rather than fundamentally taking a learning approach to solving some of the unique problems arising in real-world vision applications.
3. Beyond object recognition and robot navigation, many interesting problems in computer vision are less well known. These include more complex tasks such as joint geometric/semantic scene parsing, object discovery, modeling of visual attributes, image aesthetics, etc.
4. Even within the domain of “classic” recognition systems, we also face significant challenges in scaling up machine learning techniques to millions of images and thousands of categories (consider for example the ImageNet data set).
5. Images often come with extra multi-modal information (social network graphs, user preference, implicit feedback indicators, etc) and this information is often poorly used, or integrated in an ad-hoc fashion.

This workshop therefore seeks to bring together machine learning and computer vision researchers to discuss these challenges, show current progress, highlight open questions and stimulate promising future research.

Call for Papers

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Papers are sought in the following areas:

* Use of multi-modal information in image tasks (e.g., text, GPS tags, timestamps, social network, implicit feedback, audio, user preferences)

* Image tasks beyond object classification — that is, novel applications (comprehensive scene understanding, object discovery, attribute learning, aesthetic analysis, modeling of the collective structure of large-scale image datasets, etc.)

* Novel learning techniques and features especially suited for the above applications

* Papers that emphasize on integrated learning approaches, in contrast to solving any issues purely via complex software engineering (i.e., by chaining standard methods).

* Methods that are truly scalable to millions of images and/or to large video repositories, which now dominate many vision tasks.

* Algorithms that really push the boundaries of Machine Learning for Computer Vision tasks, or applications which really push the boundaries of both disciplines are particularly sought.

The program committee will review papers and provide suggestions for either a poster or oral presentation. Note that scientific contribution is a must; however, we encourage preliminary approaches that partially solve a challenging issue, or solutions that target a problem of interest but are not necessarily state-of-the-art in terms of performance (e.g., a method that scales to 1 trillion images on a mobile phone, but is 2% behind the winner on the latest vision challenge so would not necessarily be considered ‘state of the art’). The aim of the workshop is to look to the future, as much as it is to demonstrate successes of the (recent) past.

Call for Demos/Projects

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We especially solicit posters and/or demos from projects (e.g. internal, NSF funded, EU projects). This can be from projects near completion — an opportunity to show the community what challenges were addressed and demonstrate and software / datasets / systems that were produced. Alternatively, these can form outlines, ideas, open problems. The idea is to raise awareness of all activities in the joint area of machine learning / computer vision among as many researchers as possible. We will aim to accommodate as many relevant demos/project posters as possible.

Our overall aim: is to promote fruitful discussion among researchers from both communities, to raise awareness of work / challenges / projects / datasets, and to provide a relaxed environment in which to discuss these aspects. We are not aiming at a processional mini-conference, the outcome of the workshop should be more than a list of papers to go and read: hopefully you will have new contacts and new research ideas to get very excited about.

Details:

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Website: http://sites.google.com/site/mlngcvc/

Submission deadline: 23:59, GMT, 18th October, 2010

CFP: Workshop on Social Behavior Analysis

Call for papers: Workshop on Social Behavior Analysis

Santa Barbara, CA , 24 or 25 March 2011 (This is a one day workshop, exact date will be announced soon), in conjunction with FG 2011

Important Dates

* Paper submission: 12 December 2010
* Notification to the authors: 13 January 2011
* Receipt of camera ready copy: 19 January, 2011

Webpage: http://www.idiap.ch/~oaran/sba/index.html

There is a strong interest in fields like computer vision, audio processing, multimedia, HCI, and pervasive computing, in designing computational models of human interaction in realistic social settings. Such interest is boosted by the increasing capacity to acquire behavioral data with cameras, microphones and other fixed and mobile sensors. Unlike the traditional HCI view, which emphasizes communication between a person and a computer, the emphasis of an emerging body of research has been shifting towards communicative social behavior in natural situations, with examples such as informal conversational settings, general workplace environments, interviews, and meeting scenarios.

The workshop will gather, discuss, and disseminate unpublished work on computational models and systems for the analysis of social behavior. Given the scope of Automatic Face and Gesture Recognition conference, we would like to focus on automatic techniques for visual analysis of human communication and on the applications that are built on top of it. We welcome contributions that present robust techniques for the analysis of gestures and facial expressions in natural conversational environments to model social behavior in everyday life and reason about them. We also strongly encourage the participation of colleagues from behavioral sciences: studies of nonverbal behavior and social interaction provide highly valuable information, concepts, and frameworks to guide automatic analysis, while efforts in automatic analysis of social behavior provide new tools, data, and insights to behavioral scientists interested in nonverbal behavior and social interaction.
We invite contributions that address the following (non-exhaustive) list of topics:

Social behavior analysis
* Analysis and recognition of visual social cues and others:
o Visual nonverbal cues (body postures, hand gestures, head gestures, actions …)
o Multimodal affect recognition
o Nonverbal cues from other sensors
* Multimodal computational models for the analysis, estimation, and prediction of social behavior aspects and dimensions (interest level, dominance, rapport, deception…) and of individual properties affecting it (e.g., personality traits, preferences…)
* Analysis of conversational dynamics
* Multimodal data corpora for social behavior analysis

Systems and devices for capturing social behavior
* Smart camera/microphone systems
* Novel sensor technologies
* Wearable devices
* Cell phones

Socially aware systems and applications
* Computers and robots in the human interaction loop
* Individual and group self-awareness
* Educational applications
* Workplace applications
* Healthcare applications
* Game applications
* Art & creative applications

Organizers:
Oya Aran, Idiap Research Institute
Daniel Gatica-Perez, Idiap Research Institute
Louis-Philippe Morency, University of Southern California
Fabio Pianesi, University of Trento

More information can be found on the workshop web site: http://www.idiap.ch/~oaran/sba/index.html

ML/DM Post doc Job Anouncement – at SYSTMOD – Univeristy of Liège

Dear Colleagues,

We open a post-doc position in machine learning at the University of Liège, Department of Electrical Engineering and Computer Science.

The candidate will work in the context of large scale machine learning and data mining, within the research unit of Systems and Modeling (see http://www.montefiore.ulg.ac.be/services/stochastic/new/doku.php) and in collaboration with PEPITe SA (see http://www.pepite.be/), in order to create innovative solutions for extracting predictive models from very high dimensional data in the form of time-series collected from complex dynamical processes.

The initial contract should start early January 2011, and will be of one year.

The ideal candidate should have a PhD in Machine Learning or Data Mining, and be interested by challenging real world applications.

To apply, please send your CV and motivation letter to Prof. Louis Wehenkel (L.Wehenkel(at)ulg.ac.be).

Best regards,

Louis Wehenkel

www.montefiore.ulg.ac.be/~lwh/

NIPS 2010 workshop: Learning on Cores, Clusters, and Clouds

Learning on Cores, Clusters, and Clouds
NIPS 2010 Workshop, Whistler, British Columbia, Canada

http://lccc.eecs.berkeley.edu/

— Submission Deadline: October 17, 2010 —

In the current era of web-scale datasets, high throughput biology, and
multilanguage machine translation, modern datasets no longer fit on a
single computer and traditional machine learning algorithms often have
prohibitively long running times. Parallel and distributed machine
learning is no longer a luxury; it has become a necessity. Moreover,
industry leaders have already declared that clouds are the future of
computing, and new computing platforms such as Microsoft’s Azure and
Amazon’s EC2 are bringing distributed computing to the masses.

The machine learning community is reacting to this trend in computing by developing new parallel and distributed machine learning techniques.
However, many important challenges remain unaddressed. Practical
distributed learning algorithms must deal with limited network
resources, node failures and nonuniform network latencies. In cloud
environments, where network latencies are especially large, distributed
learning algorithms should take advantage of asynchronous updates.

Many similar issues have been addressed in other fields, where
distributed computation is more mature, such as convex optimization and
numerical computation. We can learn from their successes and their
failures.

The one day workshop on “Learning on Cores, Clusters, and Clouds” aims
to bring together experts in the field and curious newcomers, to present
the state-of-the-art in applied and theoretical distributed learning,
and to map out the challenges ahead. The workshop will include invited
and contributed presentations from leaders in distributed learning and
adjacent fields.

We would like to invite short high-quality submissions on the following
topics:

* Distributed algorithms for online and batch learning
* Parallel (multicore) algorithms for online and batch learning
* Computational models and theoretical analysis of distributed and
parallel learning
* Communication avoiding algorithms
* Learning algorithms that are robust to hardware failures
* Experimental results and interesting applications

Interesting submissions in other relevant topics not listed above
are welcome too. Due to the time constraints, most accepted
submissions will be presented as poster spotlights.

_Submission guidelines:_

Submissions should be written as extended abstracts, no longer
than 4 pages in the NIPS latex style. NIPS style files and
formatting instructions can be found at
http://nips.cc/PaperInformation/StyleFiles. The submissions should
include the authors’ name and affiliation since the review process
will not be double blind. The extended abstract may be accompanied
by an unlimited appendix and other supplementary material, with
the understanding that anything beyond 4 pages may be ignored by
the program committee. Please send your submission by email to
submit.lccc(at)gmail.com before
October 17 at midnight PST. Notifications will be given on or
before Nov 7. Topics that were recently published or presented
elsewhere are allowed, provided that the extended abstract
mentions this explicitly; topics that were presented in
non-machine-learning conferences are especially encouraged.

_Organizers:_

Alekh Agarwal (UC Berkeley), Lawrence Cayton (MPI Tuebingen),
Ofer Dekel (Microsoft), John Duchi (UC Berkeley), John Langford
(Yahoo!)

_Program Committee:_

Ron Bekkerman (LinkedIn), Misha Bilenko (Microsoft), Ran
Gilad-Bachrach (Microsoft), Guy Lebanon (Georgia Tech), Ilan Lobel
(NYU), Gideon Mann (Google), Ryan McDonald (Google), Ohad Shamir
(Microsoft), Alex Smola (Yahoo!), S V N Vishwanathan (Purdue),
Martin Wainwright (UC Berkeley), Lin Xiao (Microsoft)

2nd TOBI Workshop: Call for Papers

TOBI Workshop II:

Translational issues in BCI development: user needs, ethics, and technology transfer

Fondazione Santa Lucia, Rome, Italy
Dec. 2-3, 2010

http://www.tobi-project.org/TOBI-workshop-2
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= Announcement =

The TOBI Project (Tools for Brain Interaction, http://www.tobi-project.org) is organizing its second workshop, which follows the one held in Graz on February 2010.

The goal of the 2nd TOBI workshop is to draw the current and future scenarios involving themes of utmost relevance to fill the gap between the promises of the neural engineering achievements and the clinical application reality in terms of BCIs as a daily use assisted device and as add-on intervention in the rehabilitation protocols:

i. user centered research and design
ii. neuroethics
iii. technology transfer

The scientific program will consist of keynote talks, oral presentations, poster presentations, and round table.

A satellite session on clustering of EU-funded projects will take place (open to participants to EU-funded projects).

Partial list of speakers:

– Richard Frackowiak, Centre Hospitalier Universitaire Vaudois, Switzerland.
– Andrea Kübler, Julius-Maximilians Universität Würzburg, Germany
– Donatella Mattia, Fondazione Santa Lucia, Rome, Italy
– José del R. Millán, Ecole Polytechnique Fédérale de Lausanne, Switzerland
– Klaus-R. Müller, Technische Universität Berlin, Germany
– Guglielmo Tamburrini, Federico II University of Naples, Italy
– Paul Timmers, Head of Unit for ICT for Inclusion in the European Commission (to be confirmed).

= Call for papers =

Participants are invited to submit a 2-pages paper, which will be peer reviewed. Template and instruction for submission can be found on the workshop’s web site.

Papers can be accepted either for an oral or a poster presentation.

Accepted papers will be published on a special issue on the International Journal of Bioelectromagnetism (ISSN 1456-7865).

Authors of selected papers will be invited to submit an extended version for a special issue to be published on a prominent journal of the field (to be announced).

Deadline for paper submission: October 11, 2010

= Registration =

Participants are required to register through the conference menagement system (link available on the workshop’s web site). Registration includes lunches, coffee breaks, and the social dinner.

Registration fees are:

70 Euro by November 1
120 Euro by November 19
170 Euro onsite

= Important dates =

Paper submission: 11 October 2010
Early registration: 1 November 2010
Late registration: 19 November 2010
Workshop: 2-3 December 2010

= Venue =

The workshop will be held at the Congress Center of Fondazione Santa Lucia IRCCS, via Ardeatina 306, in the south-eastern part of Rome, close to the Appia Antica Park.

Hotel rooms have been pre-booked downtown Rome (in the vicinity of Piazza Repubblica, conveniently linked the main city attractions by public transportation).

Complimentary buses will transfer the participants (at the beginning and at the end of the sessions) between the workshop venue and Piazza Repubblica.

The social program will include a visit to the archaeological attractions of the city, followed by a dinner downtown.
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= Info =

Official web page:

http://www.tobi-project.org/TOBI-workshop-2

Send info requests to:

tobiworkshop_AT_hsantalucia.it

Find a more detailed PDF version of the announcement at:

http://www.tobi-project.org/sites/default/files/public/Workshop/Announcement_2ndTOBIws.pdf

PASCAL CHiME Speech Separation and Recognition Challenge

We are pleased to announce the PASCAL ‘CHiME’ Speech Separation and Recognition Challenge.

In 2006 the PASCAL Network funded the first speech separation challenge, addressing the problem of separating and recognising speech artificially mixed with other speech. The best system was able to achieve super-human performance! We are now turning to a more realistic – but more difficult – scenario: recognising speech in the reverberant multisource mixtures that are typical of everyday listening conditions. Specifically, the challenge will employ binaural, distant-microphone recordings made over a period of several weeks in a real family house.

The challenge will be to separate and recognise simple command utterances which have been convolved with a binaural room impulse response and embedded in this continuous background. The challenge is motivated by the demands of real distant-microphone speech recognition applications and has been designed to draw participation from multiple disciplines including signal processing, computational hearing, machine learning and speech recognition. Evaluation will be through speech recognition results but participants will be allowed to submit either separated signals, robust speech features or the outputs of complete recognition systems. We are interested in measuring the performance of both emerging techniques and established approaches.

A full description of the challenge, including details of the source separation and recognition tasks, the noisy speech data sets, and the rules for participation can be found on the Challenge web site.

http://www.dcs.shef.ac.uk/spandh/chime/challenge.html

Results of the Challenge will be presented at a dedicated one-day workshop that will be held as a satellite event of Interspeech 2011 in Florence, Italy. Participants will be invited to submit abstracts or full papers for presentation at this event.

Schedule:

September 2010: Training and development data are available for download
October 2010: Additional tools are available
February 2011: Test data are released
31st March 2011: Submission deadline for the CHiME 2011 workshop.

If you have any questions please do not hesitate to contact the organisers, chime(at)dcs.shef.ac.uk

Best Regards,

Jon Barker, (University of Sheffield, UK)
Emmanuel Vincent, (INRIA Rennes, France)
Ning Ma, (University of Sheffield, UK)
Heidi Christensen, (University of Sheffield, UK)
Phil Green, (University of Sheffield, UK)

ICANN 2011: Call for Workshops and Tutorials

CALL FOR WORKSHOP AND TUTORIAL PROPOSALS

We invite researchers interested in chairing a workshop or a tutorial
at ICANN 2011, The Twentieth Anniversary International Conference on
Artificial Neural Networks, to submit proposals for workshops and
tutorials.

ICANN 2011 brings together the two main sources of inspiration for
research on computational modeling of adaptive and learning systems:
– statistical and mathematical principles, and
– human brain and cognition.

VENUE:

ICANN 2011 will take place at the Aalto University School of Science
and Technology (former Helsinki University of Technology) and Dipoli
Conference Center. They are located in Espoo, Finland in the Helsinki
capital area.

DATES:

Submission of workshop and tutorial proposals: December 3rd, 2010
Notification of workshop acceptance: December 17th, 2010
Notification of tutorial acceptance: January 7th, 2011
ICANN conference: June 14-17th, 2011

WORKSHOP AND TUTORIAL ORGANIZATION:

The topics of workshops and tutorials should be related to the ICANN
research areas, including brain inspired computing, machine learning,
and applications.

Workshops are meetings for talks and informal discussion of important
problems and challenges. One full day will be allocated for workshops.
Workshop organizers are responsible for the content of a workshop and
coordinating participation.

Each tutorial should last from two to four hours.

SUBMISSION INSTRUCTIONS:

Proposals are to be submitted by email to the address below by
December 3rd, 2010. The proposals should include:
– a title
– a short description of the problem to be addressed
– a motivation for the proposed topic
– names of proposed speakers
– names, email addresses and phone numbers of all the organizers
(please indicate the primary contact)

Tutorial proposals should in addition include a resume of the
prospective lecturer with a list of publications to establish
scholarship in the field.

CONTACT INFORMATION:

Proposals or questions should be sent to
icann2011.workshops(at)cis.hut.fi (for workshops)
or
icann2011.tutorials(at)cis.hut.fi (for tutorials)

NIPS 2010 workshop: Monte Carlo Methods for Bayesian Inference in Modern Day Applications

*** Deadline: October 31, for 1-page abstracts.

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NIPS 2010 workshop
Monte Carlo Methods for Bayesian Inference in Modern Day Applications
http://montecarlo.wikidot.com/
http://nips.cc/

December 10, 2010
Whistler, Canada. Westin Resort and Spa and Hilton Resort and Spa
Sponsored by the PASCAL2 EU Network of Excellence
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We invite submissions on Monte Carlo methods and their practical
application. Particularly welcome are “tricks of the trade” and “war
stories” that might not make it into conventional publications.
Submissions are solicited both from researchers developing new
methodology and from practitioners using established techniques.

Send poster abstracts of up to one page to
montecarlo-nips2010(at)cs.toronto.edu
by Oct 31, 2010. Use the NIPS style file with no anonymity. We will
notify acceptances by Nov 4, before the NIPS early registration
deadline.

We intend to invite key contributions from the workshop to submit full
papers to a JMLR W&CP issue to appear in the new year.

We also invite contributions to the wiki, including suggested readings
and discussion topics:
http://montecarlo.wikidot.com/

The organizers:
Ryan Prescott Adams, http://www.cs.toronto.edu/~rpa/
Mark Girolami, http://www.dcs.gla.ac.uk/inference/
Iain Murray, http://homepages.inf.ed.ac.uk/imurray2/

Confirmed invited speakers:
Derek Bingham
Julien Cornebise
Arnaud Doucet
Andrew McCallum
Yee-Whye Teh
Max Welling

Workshop description:

Monte Carlo methods have been the dominant form of approximate inference for
Bayesian statistics over the last couple of decades. Monte Carlo methods are
interesting as a technical topic of research in themselves, as well as enjoying
widespread practical use. In a diverse number of application areas Monte Carlo
methods have enabled Bayesian inference over classes of statistical models which
previously would have been infeasible. Despite this broad and sustained
attention, it is often still far from clear how best to set up a Monte Carlo
method for a given problem, how to diagnose if it is working well, and how to
improve under-performing methods. The impact of these issues is even more
pronounced with new emerging applications. This workshop is aimed equally at
practitioners and core Monte Carlo researchers. For practitioners we hope to
identify what properties of applications are important for selecting, running
and checking a Monte Carlo algorithm. Monte Carlo methods are applied to a broad
variety of problems. The workshop aims to identify and explore what properties
of these disparate areas are important to think about when applying Monte Carlo
methods.

We look forward to seeing you in Whistler this December!

Call for contributions – New Problems and Methods in Computational Biology [NIPS 2010 MLCB workshop]

Call for contributions

New Problems and Methods in Computational Biology

http://www.mlcb.org

A workshop at the Twenty-Third Annual Conference on
Neural Information Processing Systems (NIPS 2010)
Whistler, BC, Canada, December 10 or 11, 2010.

Deadline for submission of extended abstracts: Oct 25, 2010,

WORKSHOP DESCRIPTION

The field of computational biology has seen dramatic growth over
the past few years, in terms of newly available data, new
scientific questions and new challenges for learning and
inference. In particular, biological data is often relationally
structured and highly diverse, and thus requires combining multiple
weak evidence from heterogeneous sources. These sources include
sequenced genomes of a variety of organisms, gene expression data
from multiple technologies, protein sequence and 3D structural
data, protein interaction data, gene ontology and pathway
databases, genetic variation data (such as SNPs), high-content
phenotypic screening data, and an enormous
amount of text data in the biological and medical literature. These
new types of scientific and clinical problems require novel
supervised and unsupervised learning approaches that can use these
growing resources.

The workshop will host presentations of emerging problems and
machine learning techniques in computational biology. We encourage
contributions describing either progress on new bioinformatics
problems or work on established problems using methods that are
substantially different from standard approaches. Kernel methods,
graphical models, semi-supervised approaches, feature selection
and other techniques applied to relevant bioinformatics problems
would all be appropriate for the workshop.

SUBMISSION INSTRUCTIONS

Researchers interested in contributing should upload an extended
abstract of 4 pages in PDF format to the MLCB submission web site
http://www.easychair.org/conferences/?conf=mlcb2010

by Oct 25, 2010, 11:59pm (Samoa time).

No special style is required. Authors may use the NIPS style file, but
are also free to use other styles as long as they use standard font
size (11 pt) and margins (1 in).

All submissions will be anonymously peer reviewed and will be
evaluated on the basis of their technical content. A strong
submission to the workshop typically presents a new learning method
that yields new biological insights, or applies an existing learning
method to a new biological problem. However, submissions that improve
upon existing methods for solving previously studied problems will
also be considered. Examples of research presented in previous years
can be found online at http://www.mlcb.org/nipscompbio/previous/.

Please note that accepted abstracts will be posted online at
www.mlcb.org. Authors may submit two versions of their abstract, a
longer version for review and a shorter version for posting to the web
page. In addition, we intent to make presentations be video taped and
published online as part of the videolectures.net website supported by
Pascal.

The workshop allows submissions of papers that are under review or
have been recently published in a conference or a journal. This is
done to encourage presentation of mature research projects that are
interesting to the community. The authors should clearly state any
overlapping published work at time of submission. Authors of
accepted abstracts will be invited to submit full length versions
of their contributions for publication in a special issue of BMC
Bioinformatics.

ORGANIZERS

Gunnar Rätsch,
Friedrich Miescher Laboratory of the Max Planck Society

Tomer Hertz,
Fred Hutchinson Cancer Research Center

Yanjun Qi,
Machine Learning Department, NEC Research

Jean-Philippe Vert,
Mines ParisTech, Institut Curie

PROGRAM COMMITTEE

Mathieu Blanchette, McGill University
Gal Chechik, Google Research
Florence d’Alche-Buc, Université d’Evry-Val d’Essonne, Genopole,
Eleazar Eskin, UC Los Angeles,
Brendan Frey (University of Toronto)
Alexander Hartemink (Duke University)
David Heckerman, Microsoft Research ,
Michael I. Jordan, UC Berkeley ,
Christina Leslie, Memorial Sloan-Kettering Cancer Research Center,
Michal Linial, The Hebrew University of Jerusalem ,
Quaid Morris, University of Toronto,
Klaus-Robert Müller, Fraunhofer FIRST ,
William Stafford Noble, Department of Genome Sciences, University of
Washington
Dana Pe’er, Columbia University ,
Uwe Ohler, Duke University ,
Alexander Schliep, Rutgers University,
Koji Tsuda, Computational Biology Research Center
Alexander Zien, LIFE Biosystems