Workshop and Challenge on Robust activity recognition

Call for Participation

Robust machine learning techniques for human activity recognition
A full day workshop at the IEEE conf on Systems, Man and Cybernetics 2011
October 9-12, Anchorage, USA
http://www.opportunity-project.eu/workshopSMC
——————————————————–

Human activity recognition can be used to devise assistants that
provide proactive support by exploiting the knowledge of the user’s
context, determined from sensors located on-body. The design and
development of these systems pose important challenges to the machine
learning community as they typically involve high-dimensional,
multimodal streams of data characterised by a large variability; where
data portions may be missing or labels can be unreliable.

Notwithstanding the large amount of research endeavours aimed at
tackling these issues, the comparison of different approaches is often
not possible due to the lack of common benchmarking tools and datasets
that allow for replicable and fair testing procedures across several
research groups. The aim of this workshop is to discuss and compare
different methods for robust activity recognition, as well as putting
forward the need for common resources for such comparison. To promote
such comparison, the workshop is associated to an activity recognition
challenge (see below) where contributed methods will be evaluated on a
public
benchmark database of daily activities recorded using a multimodal
network of on-body sensors.

Invited Speakers
——————
Prof. Dr. Paul Lukowicz, Universität Passau
Dr. Thomas Ploetz, Newcastle University

Important dates
—————
June 28, 2011: Submission deadline
July 1, 2011: Acceptance/rejection notification
July 5, 2011: Camera ready due
October 9, 2011: Workshop

Contact: activityrecognition.challenge(at)gmail.com

————————————————————
————————————————————
Activity recognition Challenge
http://www.opportunity-project.eu/challenge

As mentioned above, there are established benchmarking problems for
activity recognition. We intend to address this issue by setting up a
challenge on activity recognition addressing key questions in
activity recognition such as classification based on multimodal
recordings, activity spotting and robustness to noise. To this end we
provide a benchmark database of daily activities recorded in a sensor
rich environment.

Prizes will be awarded to participants that achieve the best
performance, and the overall lessons and results obtained from this
challenge will be presented at the associated workshop at the IEEE
Conference on Systems, Man and Cybernetics 2011. Moreover, we are
currently arranging the future publication of selected contributions in
a top journal in the field.

Challenge description: http://www.opportunity-project.eu/challenge

Contact: activityrecognition.challenge(at)gmail.com

Important dates
—————
September 9, 2011: Final submission date
October 9, 2011: Final results and conclusions presented at the SMC workshop

Organisers
———-
Ricardo Chavarriaga, EPFL, Switzerland
Daniel Roggen, ETHZ, Switzerland
Alois Ferscha, Johannes Kepler University, Linz, Austria
Paul Lukowicz, U. Passau, Germany

—————————————-
FP7 FET-Open EU project OPPORTUNITY
Activity and Context Recognition with
Opportunistic Sensor Configurations
http://www.opportunity-project.eu

2nd CFP for ECML PKDD 2011 workshops and co-located events

ECML PKDD 2011 WORKSHOPS
CALL FOR PAPERS
http://www.ecmlpkdd2011.org/workshops.php
Athens, Greece, September 5 and 9, 2011

The European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML PKDD) will take place in Athens,
Greece from September 5th to 9th, 2011.
The combined event will comprise a wide program of workshops, to be held on
Monday and Friday, September 5 and 9, immediately preceding and following
the main ECML PKDD 2011 conference.

——————————–
Workshop NEMO
——————————–
Finding patterns of human behaviors in NEtworks and MObility data

http://kdd.isti.cnr.it/nemo/

Chairs
Albert-Laszlo Barabasi, – CCNR, Northeastern University, USA
Michele Berlingerio,KDD Lab, ISTI-CNR Pisa, Italy
Dino Pedreschi, KDD Lab, Dept. of Computer Science, University of Pisa,
Italy
Dashun Wang, CCNR, Northeastern University, USA

Sponsor and Award Chair
Mirco Nanni, KDD Lab, ISTI-CNR Pisa, Italy

Contact e-mails
michele.berlingerio(at)isti.cnr.it
dashunwang(at)gmail.com

——————————–
Workshop DMLG
——————————–
Machine Learning and Data Mining in and around Games

http://www-kd.iai.uni-bonn.de/dmlg11/

Chairs
Tom Croonenborghs, Katholieke Hogeschool Kempen
Kurt Driessens, Maastricht University
Olana Missura, University of Bonn, Fraunhofer IAIS

Contact e-mail
dmlg2011(at)iais.fraunhofer.de

——————————–
Workshop PlanSoKD
——————————–
Planning to Learn and Service-Oriented Knowledge Discovery

http://www.ifi.uzh.ch/ddis/events/plansokd2011/

Chairs
Jorg-Uwe Kietz, University of Zurich, Switzerland
Simon Fischer, Rapid-I, Germany
Nada Lavrac, Jozef Stefan Institute, Slovenia
Vid Podpecan, Jozef Stefan Institute, Slovenia

Contact e-mail
juk(at)ifi.uzh.ch

——————————–
Workshop MultiClust
——————————–
Discovering, Summarizing and Using Multiple Clusterings

http://dme.rwth-aachen.de/en/MultiClust2011

Chairs
Emmanuel Muller, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

Stephan Gunnemann, RWTH Aachen University, Aachen, Germany
Ira Assent, Aarhus University, Arhus, Denmark
Thomas Seidl, RWTH Aachen University, Aachen, Germany

Contact e-mails
emmanuel.mueller(at)kit.edu
guennemann(at)cs.rwth-aachen.de
ira(at)cs.au.dk
seidl(at)cs.rwth-aachen.de

——————————–
Workshop ISEW
——————————–
Intelligent Techniques in Software Engineering

http://sweng.csd.auth.gr/~isew11/

Chairs
Ioannis Stamelos, Department of Informatics, Aristotle University,
Thessaloniki, Greece
Stamatia Bibi, Department of Informatics, Aristotle University,
Thessaloniki, Greece

Contact e-mails
stamelos(at)csd.auth.gr
sbibi(at)csd.auth.gr

——————————–
Workshop CoLISD
——————————–
Collective Learning and Inference on Structured Data

http://www.cse.iitm.ac.in/CoLISD/CoLISD.html

Chairs
Balaraman Ravindran, Department of CSE, IIT Madras, Chennai, India
Kristian Kersting, Department of Knowledge Discovery, Fraunhofer IAIS,
Germany
Sriraam Natarajan, Wake Forest University Baptist Medical Center, Winston
Salem, NC
Indrajit Bhattacharya, Department Dept of CSA, Indian Institute of Science,
Bangalore, India
S. Shivashankar, Department of CSE, IIT Madras, Chennai, India

Contact e-mail
ecml.colisd.chairs(at)gmail.com

——————————–
Workshop DM-FGP
——————————–
Data Mining in Functional Genomics and Proteomics: Current Trends and Future
Directions

http://cajalbbp.cesvima.upm.es/ecmlpkdd11

Chairs
Prof. J.M. Pena UPM, Spain
Dr. A. Fazel Famili NRC, Canada

Contact emails
Fazel.Famili(at)nrc-cnrc.gc.ca
jmpena(at)fi.upm.es

——————————–
Workshop MUSE
——————————–
Mining Ubiquitous and Social Environments

http://www.kde.cs.uni-kassel.de/ws/muse2011/

Chairs
Martin Atzmueller, Knowledge and Data Engineering Group, University of
Kassel, Germany
Andreas Hotho, Data Mining and Information Retrieval Group, University of
Wuerzburg, Germany

Contact e-mails
atzmueller(at)cs.uni-kassel.de
hotho(at)informatik.uni-wuerzburg.de

——————————–
Workshop KD-HCM
——————————–
Knowledge Discovery in Health Care and Medicine

http://www.cs.gmu.edu/~hrangwal/kd-hcm/

Chairs
Huzefa Rangwala, George Mason University, USA.
Andrea Tagarelli, University of Calabria, Italia.
Nikil Wale, Pfizer, USA.
George Karypis, University of Minnesota, USA.

Contact e-mail
kdhcmchairs2011(at)gmail.com

——————————–
Joint ECML/PKDD – PASCAL Workshop LSHC2
——————————–
Large-Scale Hierarchical Classification

http://lshtc.iit.demokritos.gr:10000/

Chairs
George Paliouras, NCSR “Demokritos”, Athens, Greece
Eric Gaussier, LIG, Grenoble, France
Aris Kosmopoulos, NCSR “Demokritos” & AUEB, Athens, Greece
Ion Androutsopoulos, AUEB, Athens, Greece
Thierry Artières, LIP6, Paris, France
Patrick Gallinari, LIP6, Paris, France

Contact e-mail
lshtc_info(at)iit.demokritos.gr

——————————–
Workshop MIND
——————————–
Mining Complex Entities from Network and Biomedical Data

http://www.di.uniba.it/~loglisci/MIND2011/

Chairs
Stefano Ferilli, Department of Computer Science, University of Bari, Italy
Corrado Loglisci, Department of Computer Science, University of Bari, Italy
Michael Schroeder, Biotechnology Center (BIOTEC), Technical University of
Dresden (TUD), Germany
George Tsatsaronis, Biotechnology Center (BIOTEC), Technical University of
Dresden (TUD), Germany
Iraklis Varlamis, Department of Informatics and Telematics, Harokopio
University of Athens (HUA), Greece

Contact e-mails
ferilli(at)di.uniba.it
loglisci(at)di.uniba.it
ms(at)biotec.tu-dresden.de
george.tsatsaronis(at)biotec.tu-dresden.de
varlamis(at)gmail.com

CFP: 9th European Workshop on Reinforcement Learning (EWRL), co-located with ECML-PKDD 2011

***

9th European Workshop on Reinforcement Learning (EWRL-9)
– co-located with ECML PKDD 2011
– submission deadline: June 10, 2011

http://ewrl.wordpress.com/ewrl9-2011/

***

Call For Papers:

The 9th European workshop on reinforcement learning (EWRL-9)
invites reinforcement learning researchers to participate in
the revival of this world class event. We plan to make this an
exciting event for researchers worldwide, not only for the
presentation of top quality papers, but also as a forum for
discussion of open problems and future research directions.

We are calling for papers from the entire reinforcement
learning spectrum, with the option of either 3 page position
papers (on which open discussion will be held) or longer 12
page LNAI format research papers. We encourage a range of
submissions to encourage broad discussion.

Proceedings of this workshop will be published by Springer in the
LNAI (LNCS) series.

Double submissions are allowed, however in the event that an EWRL
paper is accepted to another conference proceedings or journal,
copyright restrictions prevent it from being reprinted in the official
EWRL Springer LNCS proceedings. The paper would still be considered,
however, for acceptance and presentation at EWRL.

We will offer at least one best paper prize of Euro 500.

We encourage submissions from a range of sub-topics including
(but not limited to):

* Exploration/Exploitation in RL
* (Function) approximation in RL
* Knowledge Representation in RL
* Theoretical aspects of RL
* Policy search and policy gradient methods
* Multiagent RL
* Empirical evaluations in RL
* Kernel methods for RL
* Partially observable (PO) RL
* Bayesian RL

PASCAL2 Invited Keynote Speakers:

* Peter Auer – University of Leoben
* Kristian Kersting – Fraunhofer IAIS, University of Bonn
* Peter Stone (Tentative) – University Of Texas, Austin
* Csaba Szepesvari – University Of Alberta

Submission details:

* Deadline: June 10, 2011
* Page limit: 3 pages for position papers; 12 pages for regular papers
* Springer LNAI format: http://www.springer.de/comp/lncs/authors.html
* Submission site: http://ewrl.wordpress.com/ewrl9-2011/paper-submissions/

Cheers,
Scott Sanner, Marcus Hutter, Matt Robards, and Peter Sunehag (Organizers)

EWRL-9 gratefully acknowledges the support of the Australian National
University (ANU), NICTA, and the PASCAL2 network.

Two Chairs of Statistics at UCL

The Department of Statistical Science at UCL is currently undergoing a
programme of expansion. As part of this expansion the Department invites
applications for two Chairs of Statistics from candidates with outstanding
research records of international excellence. The two appointees will be
expected to provide research leadership as well as to contribute to the
Department’s undergraduate and postgraduate teaching programmes. An
initial task will be to provide input into the recruitment of two new
lecturers. More experienced candidates may be considered for the future
Headship of the Department.

The successful candidates will have internationally recognised track
records of research and will be able to contribute to the strong research
profile of the Department. They are expected to have continuing track
records of external research grant funding and doctoral research
supervision, experience of teaching at undergraduate or postgraduate level
and excellent interpersonal, oral and written communication skills.

Both posts are available from 1 October 2011. Salary is negotiable on the
professorial scale but will not be less than £61,960 per annum inclusive
of London Allowance. Provision of an additional market supplement on top
of the basic salary is currently under review.

Further particulars including a job description, person specification and
details of how to apply can be accessed at
http://www.ucl.ac.uk/statistics/department/jobs. Informal enquiries may be
addressed to Professor Valerie Isham, Head of Department, tel.
+44(0)20-7679-1868, email valerie(at)stats.ucl.ac.uk.

We particularly welcome female applicants and those from an ethnic
minority, as they are currently under-represented within UCL at this
level.

Closing date: 26 June 2011

Interviews date: interviews to be held in July 2011

SOR 11 – PASCAL2 sponsored conference announcement and call for papers

The 11th International Symposium on Operations Research in Slovenia (SOR’11) will be held in Dolenjske Toplice, Slovenia, September 28-30, 2011. The professional objectives of the international symposium are to provide a forum for international and national exchange of ideas on various aspects of OR and related fields. http://sor11.fis.unm.si/home

Topics
– Professional aspects of OR (OR methodology, OR education, OR implementation, OR profession).
– Methods and techniques of OR (Assignment, Combinatorial optimization, Decision theory, Games, Integer programming, Linear programming, Multiple criteria decision making, Networks and graphs, Non-linear programming, Numerical methods, Simulation, Statistics, Stochastic processes, Vector optimization, etc.
– Areas of application (Agriculture, Banking, Ecology, Economic systems and econometrics, Energy, Environmental protection, Finance, Inventory, Production planning, Transport, etc.).
– Information and computing aspects of OR (Artificial intelligence, Decision support systems, Expert systems, Information systems, OR software, etc.).

In addition, there is a PASCAL2 special session open in the submission page. Members conference fee applies to all PASCAL2 researchers.
Deadline for Submission of contributed papers June 15, 2011 (Extended dealine)

Should you need assistance, or you have any questions about the SOR’11, please feel free to contact: sor11(at)fis.unm.si.

Open PhD Position in ML at Grenoble (France)

* Large Scale Text Categorization
* Grenoble University, Grenoble, France
* Position open from 1 September 2011 (earlier or later start dates are negotiable)

PROJECT DESCRIPTION

Several categorization problems rely on category systems comprising several thousands of categories, in which new elements have to be placed. For example, DMOZ (http://dmoz.org/), which is supposed to be the largest repository of the web, contains more than 590,000 categories, in which new web pages are categorized by a team of worldwide volunteers, each being in charge of a sub-portion of the system. A similar situation is faced with systems aiming at assigning concepts or tags, from a given ontology/thesaurus or sets of tags, to documents or parts of documents. PubMed, for example, contains more than 16 million references, the abstracts of which are indexed with concepts from MeSH (http://www.nlm.nih.gov/pubs/factsheets/mesh.html), a thesaurus comprising more than 150,000 concepts. Similarly, social networks à la Flickr make use of tags which are manually assigned by users, but which can be automatically “propagated” to ensure consistence over the entire network. In all these examples, the number of categories involved requires, for both maintaining and browsing the category system, a hierarchical organization of the categories.

Several approaches have been investigated for deploying categorizers in large-scale category systems, as big-bang approaches, in which one tries to directly categorize documents into the leaf categories, without making use of the category hierarchy, or top-down approaches, in which the hierarchy is exploited to divide the overall classification problem into smaller ones. Studies reported in [1] and [2] suggested that the direct deployment of a single classifier onto the complete set of categories (big-bang approaches) may lead to training and classification time which are unacceptable. On the contrary, top-down approaches, by simplifying the overall problem, lead to acceptable classification times. However they tend to propagate errors made at higher levels of the hierarchy. More recently, alternative approaches have been proposed, aiming at locally propagating tags to close neighbors according to the tags already present and the topology of the network [3], or attempting to find efficient representations of large scale collections (either of documents, as the semantic hashing approach proposed in [4], or of the category system, as the conditional probability trees defined in [5]).

We want to study these different approaches, and in particular devise methods to obtain the optimal subset of categories to be considered at any given point in a tree or cascade of categorizers. This is related to the two following questions:

1. What happens on the generalization error of the classifier, when we replace a category by its children?
2. What is the optimal (according to the generalization error) subset of categories to retain, and how to efficiently represent them and deploy categorizers?

We want to investigate these points with several types of classifiers (as discriminative, large margin classifiers, or maximum likelihood classifiers), and develop theoretically well founded methods which are proved effective on very large data collections, as the ones currently used in the Large Scale Hierarchial Text Categorization Challenge of the PASCAL network of excellence (http://lshtc.iit.demokritos.gr:10000/LSHTC2_CFP).

*Keywords: classification, large set of categories, conditional probability trees

*Bibliography*

[1] T.-Y. Liu, Y. Yang, H. Wan, H.-J. Zeng, Z. Chen, W.-Y. Ma. Support vector machines classification with a very large-scale taxonomy, SIGKDD Explorations, 2005.
[2] O. Madani, W. Greiner, D. Kempe, M. R. Salavatipou. Recall systems: Efficient learning and use of category indices, International Conference on Artificial Intelligence and Statistics (AISTATS), 2007.
[3] S. Bao, B. Yang, B. Fei, S. Xu, Z. Su, Y. Yu. Boosting social annotations using propagation, Proceeding of the 17th ACM conference on Information and knowledge management (CIKM ’08), 2008.
[4] R. Salakhutdinov, G. Hinton. Semantic hashing, International Journal of Approximate Reasoning, 2009.
[5] A. Beygelzimer, J. Langford, Y. Lifshits, G. Sorkin, A. Strehl. Conditional Probability Tree Estimation Analysis and Algorithms, 2009 (arXiv:0903.4217v2).

REQUIREMENTS

The candidate for the PhD position should have a Master’s degree in computer science or applied mathematics with knowledge of machine learning concepts. The ideal candidate should be able to conduct theoretical research, but also implement and test models on very large datasets.

APPLICATION

Applicants should send (preferably as a single PDF file):

* a CV
* a brief statement of research interests
* references (with email and phone number)
* their academic transcript
* a sample of strongest publications or course work (e.g. Master thesis)

Applications and inquiries should be directed to:

Cecile Amblard – cecile.amblard(at)imag.fr
Eric Gaussier – eric.gaussier(at)imag.fr

*Duration*

3 years (starting in Sept. 2011)

The PhD is fully financed through a French Research National Agency grant.

BBC-Surrey PhD Industrial Case Studentship: Computer Vision

PhD in Computer Vision and Graphics
BBC-University of Surrey
Industrial PhD Case Studentship

42 months PhD funding of fees(UK/EU) + stipend circa. £20K/annum (tax-free)

(£14K/annum EPSRC stipend+ £6K/annum BBC sponsorship)

This EPSRC Industrial PhD case studentship will support the successful applicant to conduct research at both BBC R&D and the University of Surrey taking advantage of existing expertise and state-of-the-art facilities. The proposed PhD research will develop expertise in advanced computer vision, video analysis and computer graphics techniques, together with gaining experience of their application in broadcast and game industries.

Further details: http://cvssp-data.eps.surrey.ac.uk/Personal/AdrianHilton/Vacancies.html

ALL applicants must be UK residents.

Interested applicants should contact Dr. Oliver Grau (oliver.grau(at)bbc.co.uk) or Prof. Adrian Hilton (a.hilton(at)surrey.ac.uk) for further information. To apply for the industrial PhD studentship please send a full CV to Prof. Adrian Hilton.

Closing date for applications: Wednesday 1st June 2011

Starting date: must start on or before October 1st 2011

ICML Workshop on Unsupervised and Transfer Learning

July 2, 2011
Bellevue, Washington state, USA

http://clopinet.com/isabelle/Projects/ICML2011/

Call for breaking news posters and demos
Send abstract before June 20, 2011 at utl(at)clopinet.com

You are cordially invited to the lunch, which will be served during the poster session.

Invited speakers:
Pierre Baldi, UC Irvine, California, USA
Yoshua Bengio, Universite de Montreal, Canada
Joachim Buhmann, ETH, Zurich, Switzerland
Alexandru Niculescu-Mizil, NEC labs, New Jersey, USA
Gunnar Raetsch, MPI, Germany
Dale Schuurmans, University of Alberta, Canada
Prasad Tadepalli, Oregon State University, Oregon, USA
Ruslan Salakhutdinov, MIT, Massachussetts, USA
Qiang Yang, Hong Kong University of Science and Technology

Organizers:
Isabelle Guyon, Clopinet, Berkeley, California
Daniel Silver, Acadia University, Canada

Vision and Sports Summer School 2011 – registration closes 25 May

Vision and Sports Summer School 2011
Zurich, 22-26 August 2011
http://www.vision.ee.ethz.ch/summerschool2011/
email: vs3(at)vision.ee.ethz.ch
application deadline: 25 May 2011

OVERVIEW

Vision and Sports is a special special kind of summer school. In
addition to a broad-range of lectures on state-of-the-art Computer
Vision techniques, it offers exciting sport activities, such as Indoor
Climbing, Judo, Tennis and Volleyball. Sports are organized by the
same internationally renowned experts who deliver the lectures. The
school offers the best of both worlds to participants: high-quality
teaching on Computer Vision, and lots of fun with a variety of
attractive sports. This offers plenty of opportunity for personal
contact between students and teachers.

The Vision and Sports Summer School covers a broad range of subjects,
reflecting the diversity of Computer Vision. Each lecture will cover
both basic aspects and state-of-the-art research. Every day there are
two Computer Vision classes and one sports session. The classes
include both lectures and practical exercises.

The school is open to about 60 participants, and is targeted mainly to
young researchers (Master students and PhD students in particular).

TEACHERS

Jiri Matas
Czech Technical University

Daniel Cremers
TU Muenchen

Vittorio Ferrari
ETH Zurich

Silvio Savarese
University of Michigan

Christoph Lampert
IST Austria

Patrick Perez
Technicolor Research and Innovation

Cristian Sminchisescu
University of Bonn

Bodo Rosenhahn
University of Hannover

Ondrej Chum
Czech Technical University (Prague)

Lubor Ladicky
University of Oxford

COMPUTER VISION LECTURES

Current list of topics:

Local feature extraction
Multi-view geometry and 3D reconstruction
Large-scale specific object recognition
Appearance-based object categorization
Shape representation and matching
Contour-based object categorization
Human Pose Estimation
Kernel Methods for Computer Vision
Continuous optimization for Computer Vision
Structured Probabilistic models in Computer Vision
Markov Random Fields and Conditional Random Fields for Computer Vision
Tracking in video

SPORT ACTIVITIES

Tennis, Volleyball, Indoor Climbing, Unihockey, Table Tennis, Soccer,
Judo, Basketball

APPLICATION

The school is open to about 60 participants. Please apply online at

http://www.vision.ee.ethz.ch/summerschool2011/

Although priority will be given to young researchers (Master/PhD
students in particular), applications from senior researchers and
industrial professionals are welcome as well. The registration fee for
Master/PhD students is 400 Euro. This fee includes all classes, sports
activities, coffee breaks, lunches, and a social dinner. For hotel
accommodation, students will get discount rates on hotels affiliated
with the school.

Master/PhD applicants from the United States will automatically be
considered for a grant to cover part of their travel expenses.

Applicants should apply before 25 May 2011.
Notification of acceptance will be sent by 31 May 2011.

MORE INFORMATION

http://www.vision.ee.ethz.ch/summerschool2011/

NIPS 2011 Call For Demonstrations

Demonstration Proposal Deadline: Monday September 19, 2011
The Neural Information Processing Systems Conference 2011
http://nips.cc/Conferences/2011/ has a Demonstration Track running in
parallel with the evening Poster Sessions, December 13-15, 2011, in
Granada, Spain.

Demonstrations are an opportunity to showcase:
* Hardware technology
* Software systems
* Neuromorphic and biologically-inspired systems
* Robotics
or other systems, which are relevant to the technical areas covered by NIPS
(see Call for Papers http://nips.cc/Conferences/2011/CallForPapers) .
Demonstrations must show novel technology and must be live, preferably with
some interactive parts. A demonstration is not just another poster
presentation or a slide show, the action part is important.

Submissions: Submission of demo proposals at the following URL:
https://nips.cc/Demonstrators/

You will be asked to fill a questionnaire and describe clearly:
* the technology demonstrated
* the elements of novelty
* the live part
* the interactive part
* the equipment brought by the demonstrator
* the equipment required at the place of the demo

Evaluation Criteria: Submissions will be refereed on the basis of technical
quality, novelty, live action, potential for interaction.

Demonstration chair: Samy Bengio
Call URL: http://nips.cc/Conferences/2011/CallForDemonstrations