/ Projects

transLectures is a collaborative EU project that began at the end of 2011. Its aim is to develop technology capable of automatically transcribing lectures and then translating those transcriptions into the language of the user. It makes use of “massive adaptation” learning systems that adapt to the speaker by learning from the speaker’s previous lectures, both in terms of audio and content. It even uses text extracted from the slides to help the transcription and translation process.

One of the clever methods used to improve the learning process further is the incorporation of human supervision. Initial transcribed texts are presented to the user and words that the system is not confident about are highlighted. The user is then able to correct any errors. As corrections are made the system learns and does not repeat the same mistake again. It’s an intelligent interface that minimises the effort for users – much more efficient than checking entire transcribed documents.

“Massive adaptation” provides significant improvements in the quality of automatic transcriptions and translations, and also the “intelligent interaction” techniques reduce the user effort needed to supervise those texts. A quality comparison with Google’s public transcription and translation systems (which are based on general-purpose models) showed that the results obtained in automatic translation were of similar quality, while video lecture transcriptions generated automatically with transLectures technology fared considerably better than Google’s (mostly owing to the adaptation of acoustic models to the speaker by the transLectures tools).

The transLectures tools are still under development. They will initially be implemented for the VideoLectures.Net and PoliMedia repositories, with integration into the Opencast Matterhorn platform planned so that they can be exploited in any Matterhorn-based repository.

transLectures (2011-2014) is an EU-funded project to develop innovative, cost-effective tools for the automatic transcription and translation of online educational videos.
Online collections of video material are fast becoming a staple feature of the Internet and a key educational resource. What we are working on at transLectures is a set of easy-to-use tools that will allow users to add multilingual subtitles to these videos. In doing so, they will make the content of these videos available to a much wider audience in a way that is cost-effective and sustainable over the vast collections of online video lectures being generated.

Automatic transcription tools will provide verbatim subtitles of the talks recorded on video, thereby allowing the hard-of-hearing to access this content. Language learners and other non-native speakers will also benefit from these monolingual subtitles. Meanwhile, machine translation tools will make these subtitles available in languages other than that in which the video was recorded.

Specifically, we will be developing tools for use on VideoLectures.NET, a collection of videos recorded at various academic events set up by JSI’s Centre for Knowledge Transfer, and for poliMedia, a lecture capture system designed and implemented at the UPVLC. Our tools will also be fully compatible with Opencast Matterhorn, a free, open-source platform for the management of educational audio and video content

The language pairs being targeted in this project are English, Spanish and Slovenian for transcription, and English<>Spanish, English<>Slovenian, English>French and English>German for translation.

Keywords:

language technologies, machine translation, automatic speech recognition, massive adaptation, intelligent interaction, education, video lectures, multilingualism, accessibility, opencast matternhorn

List of Beneficiaries:

Universitat Politècnica de València – UPV (Spain)
Institut Jozef Stefan – IJS (Slovenia)
Rheinisch-Westfaelische Technische Hochschule Aachen – RWTH (Germany)
Xerox S.A.S. – XEROX (France)
European Media Laboratory GMBH – EML (Germany)
Deluxe Media Europe – DDS (UK)
Knowledge for All Foundation – K4A (UK) – Third party

PASCAL stands for Pattern Analysis, Statistical modelling and ComputAtional Learning. It is a Network of Excellence under Framework 6.  The official start date was 1st December 2003.

PASCAL is a Network of Excellence funded by the European Union. It has established a distributed institute that brings together researchers and students across Europe, and is now reaching out to new countries all over the world. PASCAL is developing the expertise and scientific results that will help create new technologies such as intelligent interfaces and adaptive cognitive systems. To achieve this, it supports and encourages collaboration between experts in machine learning, statistics and optimisation. It also promotes the use of machine learning in many relevant application domains such as machine vision, speech, haptics, brain-computer interface, user-modelling for computer human interaction, multimodal integration, natural language processing, information retrieval and textual information access.

The objective is to build a Europe-wide Distributed Institute which will pioneer principled methods of pattern analysis, statistical modelling and computational learning as core enabling technologies for multimodal interfaces that are capable of natural and seamless interaction with and among individual human users.

At each stage in the process, machine learning has a crucial role to play. It is proving an increasingly important tool in Machine Vision, Speech, Haptics, Brain Computer Interfaces, Information Extraction and Natural Language Processing; it provides a uniform methodology for multimodal integration; it is an invaluable tool in information extraction; while on-line learning provides the techniques needed for adaptively modelling the requirements of individual users. Though machine learning has such potential to improve the quality of multimodal interfaces, significant advances are needed, in both the fundamental techniques and their tailoring to the various aspects of the applications, before this vision can become a reality.

The institute will foster interaction between groups working on fundamental analysis including statisticians and learning theorists; algorithms groups including members of the non-linear programming community; and groups in machine vision, speech, haptics, brain-computer interfaces, natural language processing, information-retrieval, textual information processing and user modelling for computer human interaction, groups that will act as bridges to the application domains and end-users.

Infrastructure Programme:

The Infrastructure programme has the objective of providing network members with tools for improving the effectiveness of collaboration at all levels. Without the ambition of replacing face-to-face interaction, it aims at recreating as much as possible the benefits that the members would enjoy if they were all located in a same physical place. Tools currently been deployed include:

  • equipment for recording, processing, storing and distributing videos of seminars and other events,
  • software and hardware supporting “virtual meetings” over the internet,
  • a cluster of PCs to be used as a shared computing resource,
  • a collaborative development platform to support cross-site projects featuring software development

Thematic Programme:

Thematic Programmes are six monthly groupings of workshops and events around a theme that is of strategic importance to the development and growth of the PASCAL network. Note that each Thematic Programme will lead to a key deliverable of the network summarising the activities and achievements of the series of events held as part of the programme. Each Thematic programme will aim to develop a new series of Challenges and hold a Challenge workshop to report results on earlier challenges.

The first three Thematic Programmes were envisaged in the original proposal and are detailed in the Technical Annex. They are ‘Challenges for Building Multimodal Interfaces’ running from December 2003 till June 2004, ‘Interfacing Bayesian and Frequentist Approaches to Machine Learning’ running between July and December 2004 and ‘Linking Learning and Statistics with Optimisation’ that will run from December 2004 till June 2005.

The programme is responsible for overseeing the development of the Thematic Programmes beyond those already defined in the TA.

Sabbatical/RA Exchange Programme: The Internal Visitor (Long) Programme (IV(L)) assists in the organization and funding of longer-term visits of 1-12 months duration between sites by members of the Network. This funding stream is available to both PASCAL researchers and PASCAL PhD students. It is anticipated that the main use of funds under this programme will be to support travel and subsistence for the visit. The Internal Visitor (Long) Programme was formed in June 2004 by the amalgamation of the Sabbatical and RA Exchange Programme and the visiting component of the PhD programme as specified in the Technical Annex. Visits between 1 week and 1 month in duration are supported by the Internal Visitor (Short) Programme which will have an open call for applications. Applications under the IV(L) programme will be evaluated by two referees in terms of scientific merit, integrative impact and expense of the proposal. The annual budget for this programme is around 23k euros. Normally the maximum allocation for one application will be 5k euros (+20% overheads). It is planned to have two calls per year for the IV(L) programme, spaced 6 months apart. It is emphasized that sites can also fund visits out of their baseline travel/subsistence allocation.

Conference & Workshop Attendance Programme: The Conference Attending Programme considers funding the attendance of members of the Network at International Conferences, Workshops, and Schools. There is an open call mode for receiving applications for events in areas related to the PASCAL research themes. We will also consider special funding calls for particular events when these are organised by PASCAL members or when they are particularly relevant to the PASCAL research agenda. Applications demonstrating inter-site activities will be preferred. Such applications need to demonstrate added value for the Network of Excellence. This could be in the form of a joint research paper authored by researchers at two different sites or linking different themes of the network; or it could be participation in a workshop, special session, or school organized by several PASCAL sites.

Balance & Integration Programme: Balance & Integration (B&I) is a watchdog and advisory programme that monitors the overall activity of the Network and attempts to ensure that :

  • the various thematic programmes maintain an appropriate balance of activity between theory, algorithms and application-oriented research, and across different subject areas and input modalities ;
  • Network resources are used in a way that will promote the overall goals of integrating theoretical and applied research on machine learning, statistical pattern recognition and multimodal interfaces.

B&I’s main activities are thus consulting with other programmes, monitoring their activities, reflecting on the overall progress of the Network, and if necessary, intervening to correct any imbalances that seem to be arising.

At present, our three main concerns are :

  • To strengthen the Network’s multimodal user interface activities, and in particular, the links between these and machine learning and statistical modelling research.
  • To provide more tutorial material suitable for introducing outsiders and students to PASCAL techniques.
  • To encourage the participation of female researchers in PASCAL-related research areas.

Whenever possible, B&I functions by consultation and advice rather than direct intervention, but it does have a small discretionary budget that can be used to fund corrective actions when necessary. This funding can be allocated via targeted open calls of other thematic programmes as well as by direct B&I calls. Subject to budget being available, specific B&I related requests can also be made at any time.

Theory & Algorithms Programme: This programme should really be called something like “Adapting theory and algorithms to applications”. A key challenge for PASCAL is to learn how to adapt general theory and algorithms to take account of application-specific constraints or simplifications, without restarting from scratch each time or needing months of detailed specialization work. Adaption is crucial both for theoretical correctness and for algorithmic efficiency. For example, over-parametrization leads to both poor generalisation performance and algorithmic slowness. Solving this problem will involve a close and sustained dialog between theoreticians and application developers. Some of this can take place in the thematic programmes associated with individual modalities. The aim of the current programme is to tackle specialization at a somewhat more general level, developing general theoretical and algorithmic toolkits that can be used to specialize emerging methods quickly and easily. A further particularity of the multimodal interface domain is the need to be able to integrate information from more than one modality or source. This introduces particular challenges for machine learning and statistically based approaches, that will be dealt with here.

Machine Vision Programme: The main goal of this programme is to improve our ability to build systems that understand real-world images and videos by incorporating advanced, adaptive, learning based techniques in the process. In particular, solving tasks such as recognising people, objects, motions, gestures & situations will be crucial for building more flexible vision-based user interfaces and intelligent environments.

Speech Programme: The Speech programme is intended to assist any initiative related to research in Speech processing using Machine Learning approaches.

Brain Computer Interfaces Programme: The Brain Computer Interfaces programme is intended to assist any initiative related to research in brain-computer interaction, which includes recognition of motor-related and cognitive mental tasks, detection of errors, and assessment of other cognitive states (such as attention, frustration, or fatigue) using Machine Learning approaches.

Information Retrieval & Textual Information Access Programme: A crucial task for an intelligent interface is to retrieve relevant information for the user from a wide variety of digital resources, often with no explicit prompt from the user. Hence, it will require text and web analysis: text classification; relevance filtering; hierarchical document clustering; summarisation and cross-referencing; hidden links discovery (literature based discovery); intelligent search engines; intelligent content management tools; and knowledge management technologies. The programme will build on the already ubiquitous use of adaptive methods in these tasks.

Multimodal Integration Programme: The Multimodal Integration programme is intended to assist any initiative related to research in multi-modal processing, which includes multi-stream training and decoding, joint modality integration, fusion of decisions, etc, using Machine Learning approaches.

Pump Priming Programme: The pump-priming programme provides support for collaborative research on novel topics that are not yet sufficiently mature to attract mainstream funding. In particular, we are interested in innovative or emerging research themes, and at obtaining substantial advances in a core PASCAL research area. Priority will be given to areas that are genuinely interdisciplinary and involve more than one network site.

Challenge Programme: The challenge programme is intended to act as catalyst for both research and application development 1) Application Challenges will be in the form of particular datasets arising from an application area together with an associated task. PASCAL teams will be invited to develop methods appropriate to the task measuring their performance on the dataset and sharing their experiences at an associated Challenge workshop convened at the end of the challenge period. 2) Theoretical Challenges will be in the form of open theoretical questions that for example might highlight the links between different approaches. The associated workshop will in this case invite contributions of work relevant to the question even if not providing a definitive answer. The Challenge Programme will coordinate the development of the challenges and will provide appropriate funds to assist in the preparation of any data or material needed. For example, an applications challenge might require collection or annotation of a data collection as well as the organisation of which parts of the data would be made available and which would be retained for final verification of the submitted systems. The (PASCAL) site undertaking this work would receive the necessary support, both technical and administrative.

Funding Review Programme: The programme oversees the review of the activity of individual sites during each year of the project and based on referee reports proposes adjustments to the basic funding to the Steering Committee for final approval.

Other programmes in PASCAL:

User Modelling for Computer Human Interaction Programme
Special Interest Group Programme
Computational, Information-Theoretic Learning with Statistics Programme
Learning/Statistics & Optimisation Programme
Haptics Programme
Natural Language Processing Programme
External Visitor Programme

 

Knowledge Dissemination Programme: The programme oversees the maintainance of the web site for the project including the following components:

  • Publications database (eprints)
  • Workshop web hosting
  • Administration web provision for the programmes and their execution
  • Administrative provision for the financial management
  • Challenges web support
  • Dataset and software repository
  • Archival of meetings and mailing lists

PhD Programme: Each programme has a coordinator who is responsible for managing the activity through internal calls, proposal assessment, and allocation of the budgeted resources.

Curriculum Development Programme: The Curriculum Development Programme of PASCAL aims at stimulating the creation of reports expressing well-argumented positions in front of the issues of themes and methodologies for university education in the areas covered by the network. One major long term goal will be the design of a carefully crafted, seriously constructed undergrad curriculum. It is crucial that the voice of the researchers in PASCAL influences the curricula development in Europe, lest the motivation and methodology of our research risk getting lost in a coming society where each piece of information competes for its own public. A strength of our network is the presence of a non-academic community, top-level researchers from technology centers who may not have a direct means of influencing academia. We should try and make sure that this research community finds a way of expressing their views on future education itineraries. Indeed, the role of this programme is to stimulate thinking about how to educate new generations of researchers who will, eventually, take on our very positions.

The programme consists of two main directions: a bottom-up direction ready to receive, evaluate, and, if appropriate, promote and advise individual initiatives in the context of the programme; and a top-down initiative as well, whereby specific, precise, hopefully relevant topics are identified and, through the network contacts, attempts are made to get individuals taking them up and developing them. It is foreseen that there will be in general more candidates to such topics than energies to be devoted to them, so that some priorities might be appropriate.

The permanent committee takes decisions usually through email, and will meet approximately twice a year. The tasks falling on the committee are: 1/ to evaluate proposals coming from the bottom-up initiatives, 2/ to contribute topics for the top-down initiatives, 3/ to discuss appropriate arguments that would help to choose prioritary top-down topics

Additionally the coordinator will be responsible of conducting periodic calls for bottom-up initiatives, implementing announcements and actions accorded by the committee, and making sure that the decisions of the committee reach real life, for instance through administrative actions to effectively start approved bottom-up initiatives.

Conference & Workshop Organisation Programme: The Conference and Workshop Organization Programme provides assistance in the organization and hosting of PASCAL-related conferences and workshops. Workshops with a large tutorial component, as well as summer schools, are also considered. The program mainly aims to support organizational costs such as conference room rental, catering, secretarial costs, etc.

IPR Programme: The Intellectual Property Rights (IPR) programme is setup in order to assist PASCAL members in any request they may have regarding ways to protect their intellectual rights, such as patenting. There is a limited amount of money devoted to this activity, which could be used for instance by obtaining some legal advices from lawyers regarding particular problems related to IPR. An extract of the contract PASCAL has signed with the EC regarding IPRs can be found in the FAQ section.

Other PASCAL programmes:
Liaison Programme

Summer School Programme

The PASCAL network of excellence is coordinated by John Shawe-Taylor at the University of Southampton, U.K.. There are 13 other core sites plus a further 43 sites involved in the network each associated with one of the core sites.

University of Southampton
King’s College, London
LSE, London
Imperial College
University College, London
University of Oxford
Royal Holloway, University of London
University of Edinburgh
Aston University
University of Glasgow
University of Sheffield
University of Warwick
Université Pierre et Marie Curie (Paris 6)
INSEAD, Paris
Université Jean Monnet – Saint-Etienne
Université Paris Sud
University of Rouen
Institut National de Recherche en Informatique et en Automatique
CNRS Laboratoire d’Informatique d’Avignon
CNRS-Laboratoire I3S, Sophia-Antipolis
XEROX Research Centre Europe
UTC Compiègne
Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Max Planck Institut für Biologische Kybernetik
University of Bayreuth
University of Bochum
Università degli Studi di Milano
University of Genova
TU Graz
Universita dell’Insubria, Varese
University of Leoben
Universitat Pompeu Fabra
UPC Barcelona
Universitat d’Alicante
Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
ETH Zürich
University of Geneva
University of Basel
University of Helsinki, COSCo/HIIT Group
University of Southern Denmark, Odense
Helsinki University of Technology
KTH Stockholm
Technical University of Denmark
Jozef Stefan Institute, Ljubljana
IMFM, Institute of Mathematics, Physics and Mechanics, Ljubljana
Hebrew University of Jerusalem
Bar Ilan University
Technion, Haifa
Tel Aviv University
National ICT, Australia
EURANDOM, Eindhoven
Stichting Centrum Voor Wiskunde En Informatica
Leiden University
University of Antwerp
Katholieke Universiteit Leuven
University of Nijmegen
Douglas Aberdeen National ICT, Australia
Felix Agakov University of Edinburgh
Ankur Agarwal Institut National de Recherche en Informatique et en Automatique
Peter Ahrendt Technical University of Denmark
Navot Akiva Bar Ilan University
Matti Aksela Helsinki University of Technology
Kees Albers University of Nijmegen
Amiran Ambroladze University of Southampton
Massih Amini Université Pierre et Marie Curie (Paris 6)
Martin Anthony LSE, London
Bruno Apolloni Università degli Studi di Milano
Stefano Arca Università degli Studi di Milano
Hagai Aronowitz Bar Ilan University
Thierry Artieres Université Pierre et Marie Curie (Paris 6)
Christian Artigues CNRS Laboratoire d’Informatique d’Avignon
Peter Auer University of Leoben
Anne Auger Université Paris Sud
Jaume Baixeries UPC Barcelona
José Balcázar UPC Barcelona
David Barber Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Mark Barnard Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Adrian Barrett Imperial College
Yaroslav Basha Royal Holloway, University of London
Nicholas Baskiotis Université Paris Sud
Curzio Basso University of Basel
Herbert Bay ETH Zürich
Fréderic Béchet CNRS Laboratoire d’Informatique d’Avignon
Patrice Bellot CNRS Laboratoire d’Informatique d’Avignon
Samy Bengio Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Wicher Bergsma EURANDOM, Eindhoven
Marc Bernard Université Jean Monnet – Saint-Etienne
Nils Bertschinger TU Graz
Lucien Birgé Université Pierre et Marie Curie (Paris 6)
Gilles Blanchard Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Benjamin Blankertz Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Guillaume Bouchard Institut National de Recherche en Informatique et en Automatique
Stephane Boucheron Université Paris Sud
Stephane Bounkong Aston University
Hervé Bourlard Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Olivier Bousquet Max Planck Institut für Biologische Kybernetik
Nicholas Bousquet Université Paris Sud
Charles Bouveyron Institut National de Recherche en Informatique et en Automatique
Janez Brank Jozef Stefan Institute, Ljubljana
Janez Brank Jozef Stefan Institute, Ljubljana
Matthieu Bray ETH Zürich
Nicholas Bredeche Université Paris Sud
Peter Bühlmann ETH Zürich
Joachim Buhmann ETH Zürich
Wray Buntine University of Helsinki, COSCo/HIIT Group
Geert Caenen Katholieke Universiteit Leuven
Jorge Calera-Rubio Universitat d’Alicante
Renata Camargo University of Sheffield
Francesco Camastra University of Genova
Nicola Cancedda XEROX Research Centre Europe
Stéphane Canu University of Rouen
Andrea Caponnetto University of Genova
Barbara Caputo KTH Stockholm
Stefan Carlsson KTH Stockholm
Xavier Carreras UPC Barcelona
Gemma Casas UPC Barcelona
Ismael Castillo Université Paris Sud
Jorge Castro UPC Barcelona
Bruno Cavestro XEROX Research Centre Europe
Gilles Celeux Université Paris Sud
Nicolò Cesa-Bianchi Università degli Studi di Milano
Olivier Chappelle Max Planck Institut für Biologische Kybernetik
Silvia Chiappa Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Rudi Cilibrasi Stichting Centrum Voor Wiskunde En Informatica
Fabio Ciravegna University of Sheffield
Alexander Clark University of Geneva
Ronan Collobert Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Pierre Comon CNRS-Laboratoire I3S, Sophia-Antipolis
Alex Conconi Università degli Studi di Milano
Ehud Conley Bar Ilan University
Antoine Cornuéjols Université Paris Sud
Nello Cristianini University of Southampton
Lehel Csató Max Planck Institut für Biologische Kybernetik
Walter Daelemans University of Antwerp
Ido Dagan Bar Ilan University
Florence d’Alché-Buc Université Pierre et Marie Curie (Paris 6)
Victor Dalmau Universitat Pompeu Fabra
Chris Dance XEROX Research Centre Europe
Brian Davies Imperial College
A Philip Dawid University College, London
Colin de la Higuera Université Jean Monnet – Saint-Etienne
Fien de Meulder University of Antwerp
Renato De Mori CNRS Laboratoire d’Informatique d’Avignon
Steven de Rooij Stichting Centrum Voor Wiskunde En Informatica
Bart Decadt University of Antwerp
Ofer Dekel Hebrew University of Jerusalem
José del R Millán Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Sophie Demassey CNRS Laboratoire d’Informatique d’Avignon
Ludovic Denoyer Université Pierre et Marie Curie (Paris 6)
Alessandro Di Bucchianico EURANDOM, Eindhoven
Christos Dimitrakakis Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Steve Djajasaputra University of Nijmegen
Gyorgy Dorko Institut National de Recherche en Informatique et en Automatique
Edward Dribble Imperial College
Kurt Driessens Katholieke Universiteit Leuven
Marc Dymetman XEROX Research Centre Europe
Jan Eichhorn Max Planck Institut für Biologische Kybernetik
Marc El Beze CNRS Laboratoire d’Informatique d’Avignon
Ran El-Yaniv Technion, Haifa
Farida Enikeeva EURANDOM, Eindhoven
Yannick Esteve CNRS Laboratoire d’Informatique d’Avignon
Eyal Even-Dar Tel Aviv University
Mark Everingham University of Oxford
Theodoros Evgeniou INSEAD, Paris
Rémi Eyraud Université Jean Monnet – Saint-Etienne
Beat Fasel ETH Zürich
Dominique Feillet CNRS Laboratoire d’Informatique d’Avignon
Mary Felkin Université Paris Sud
Robert Fergus University of Oxford
Talia Figarella EURANDOM, Eindhoven
Jörg Finger University of Basel
Andrew Fitzgibbon University of Oxford
Patrik Floréen University of Helsinki, COSCo/HIIT Group
Blaz Fortuna Jozef Stefan Institute, Ljubljana
Olivier François University of Rouen
Rik Fransens Katholieke Universiteit Leuven
Matthias Franz Max Planck Institut für Biologische Kybernetik
Patrick Gallinari Université Pierre et Marie Curie (Paris 6)
Ignazio Gallo Universita dell’Insubria, Varese
Aurelien Garivier Université Paris Sud
Elisabeth Gassiat Université Paris Sud
Eric Gaussier XEROX Research Centre Europe
Ricard Gavaldà UPC Barcelona
Maayan Geffet Bar Ilan University
Claudio Gentile Universita dell’Insubria, Varese
Zoubin Ghahramani University College, London
Ran Gilad-Bachrach Hebrew University of Jerusalem
Richard Gill EURANDOM, Eindhoven
Laurent Gillard CNRS Laboratoire d’Informatique d’Avignon
Oren Glickman Bar Ilan University
Nicholas Godzik Université Paris Sud
Jelle Goeman Leiden University
Paul Goldberg University of Warwick
Paula Gomes Imperial College
John-Paul Gosling University of Sheffield
Cyril Goutte XEROX Research Centre Europe
Yves Grandvalet UTC Compiègne
Miha Grcar Jozef Stefan Institute, Ljubljana
Arthur Gretton Max Planck Institut für Biologische Kybernetik
Jens Grivolla CNRS Laboratoire d’Informatique d’Avignon
Marko Grobelnik Jozef Stefan Institute, Ljubljana
Peter Grünwald Stichting Centrum Voor Wiskunde En Informatica
Vincent Guigue University of Rouen
Steve Gunn University of Southampton
Gregory Gutin Royal Holloway, University of London
Amaury Habrard Université Jean Monnet – Saint-Etienne
David Hardoon University of Southampton
Simon Harris Imperial College
Stefan Häusler TU Graz
Matthias Hein Max Planck Institut für Biologische Kybernetik
Katherine Heller University College, London
Mark Herbster University College, London
Hynek Hermansky Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Li Hongyu University of Sheffield
Timo Honkela Helsinki University of Technology
Antti Honkela Helsinki University of Technology
Véronique Hoste University of Antwerp
José Manuel Iñesta Universitat d’Alicante
Peer Israel Bar Ilan University
François Jacquenet Université Jean Monnet – Saint-Etienne
Jean-Christophe Janodet Université Jean Monnet – Saint-Etienne
Mitja Jermol Jozef Stefan Institute, Ljubljana
Matjaz Jokopec Imperial College
Prashant Joshi TU Graz
Pierre Jourlin CNRS Laboratoire d’Informatique d’Avignon
Matti Kääriäinen University of Helsinki, COSCo/HIIT Group
Boonserm Kaewkamnerdpong University College, London
Jaz Kandola University College, London
Bert Kappen University of Nijmegen
Samuel Kaski Helsinki University of Technology
Noel Keijzers University of Nijmegen
Mikaela Keller Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Frédéric Kerloch Université Pierre et Marie Curie (Paris 6)
Joseph Keshet Hebrew University of Jerusalem
Andriy Kharechko University of Southampton
Jyrki Kivinen University of Helsinki, COSCo/HIIT Group
Arto Klami Helsinki University of Technology
Jukka Kohonen University of Helsinki, COSCo/HIIT Group
Istvan Kokai University of Basel
Alexey Koloydenko EURANDOM, Eindhoven
Vladimir Koulikov EURANDOM, Eindhoven
Nir Krause Hebrew University of Jerusalem
Reimer Kuehn King’s College, London
Mikko Kurimo Helsinki University of Technology
Malte Kuss Max Planck Institut für Biologische Kybernetik
Thomas Navin Lal Max Planck Institut für Biologische Kybernetik
Michael Lamperth Imperial College
Raffaella Lanzarotti Università degli Studi di Milano
Christine Largeron Université Jean Monnet – Saint-Etienne
Jan Larsen Technical University of Denmark
Pavel Laskov Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Steffen Lauritzen University of Oxford
Nada Lavrac Jozef Stefan Institute, Ljubljana
Neil Lawrence University of Sheffield
Robert Legenstein TU Graz
Tue Lehn-Schiøler Technical University of Denmark
Philippe Leray University of Rouen
Jure Leskovec Jozef Stefan Institute, Ljubljana
Marie-Jeanne Lesot Université Pierre et Marie Curie (Paris 6)
Olivier Liess CNRS Laboratoire d’Informatique d’Avignon
Jussi Lindgren University of Helsinki, COSCo/HIIT Group
Andrea Linhares CNRS Laboratoire d’Informatique d’Avignon
Niko List University of Bochum
Gaëlle Loosli University of Rouen
Jean-Michel Loubes Université Paris Sud
David Lowe Aston University
Gareth Loy KTH Stockholm
Gábor Lugosi Universitat Pompeu Fabra
Axel Luthart University of Bayreuth
Wolfgang Maass TU Graz
Rasmus Elsborg Madsen Technical University of Denmark
Dario Malchiodi Università degli Studi di Milano
Tuomo Malinen University of Helsinki, COSCo/HIIT Group
Yishay Mansour Tel Aviv University
Avalos Marta UTC Compiègne
Dragan Marušič IMFM, Institute of Mathematics, Physics and Mechanics, Ljubljana
Jeremie Mary Université Paris Sud
Pascal Massart Université Paris Sud
Dominique Massonie CNRS Laboratoire d’Informatique d’Avignon
Clare Anne McGrory University of Glasgow
Klaus Meer University of Southern Denmark, Odense
Ron Meir Technion, Haifa
Anders Meng Technical University of Denmark
Jean-Luc Meunier XEROX Research Centre Europe
Phillipe Michelon CNRS Laboratoire d’Informatique d’Avignon
Taneli Mielikäinen University of Helsinki, COSCo/HIIT Group
Sebastian Mika Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Dunja Mladenić Jozef Stefan Institute, Ljubljana
Leila Mohammadi Leiden University
Klaus-Robert Müller Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Thierry Murgue Université Jean Monnet – Saint-Etienne
Iain Murray University College, London
Petri Myllymäki University of Helsinki, COSCo/HIIT Group
Ian Nabney Aston University
Christian Näger TU Graz
Annika Nietzio University of Bochum
Mahesan Niranjan University of Sheffield
Hermine Njike-Fotzo Université Pierre et Marie Curie (Paris 6)
Blaz Novak Jozef Stefan Institute, Ljubljana
Jeremy Oakley University of Sheffield
Anthony O’Hagan University of Sheffield
Erkki Oja Helsinki University of Technology
Cristian Oliva CNRS Laboratoire d’Informatique d’Avignon
Jose Oncina Universitat d’Alicante
Manfred Opper University of Southampton
Ronald Ortner University of Leoben
Mihai Osian Katholieke Universiteit Leuven
Mireille Palpant CNRS Laboratoire d’Informatique d’Avignon
Emilio Parrado-Hernandez University of Southampton
Mudigonda Pawan Kumar University of Oxford
Michael Pedersen Technical University of Denmark
Jaakko Peltonen Helsinki University of Technology
Tonatiuh Pena-Centeno University of Sheffield
Fernando Perez-Cruz University College, London
Carlos Pérez-Sancho Universitat d’Alicante
Sami Perttu University of Helsinki, COSCo/HIIT Group
Lyndsey Pickup University of Oxford
Jean-Sebastien Pierrard University of Basel
Tomaž Pisanski IMFM, Institute of Mathematics, Physics and Mechanics, Ljubljana
Norman Poh Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Massimiliano Pontil University College, London
Ioana Popescu INSEAD, Paris
Alexei Pozdnoukov Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Luc Pronzato CNRS-Laboratoire I3S, Sophia-Antipolis
Adam Prügel-Bennett University of Southampton
Kai Puolamäki Helsinki University of Technology
Arash Rafiey-Hafshejani Royal Holloway, University of London
Tapani Raiko Helsinki University of Technology
CVL Raju LSE, London
Alain Rakotomamonjy University of Rouen
Liva Ralaivola Université Pierre et Marie Curie (Paris 6)
Carl Edward Rasmussen Max Planck Institut für Biologische Kybernetik
Joel Ratsaby University College, London
Gunnar Rätsch Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Cristian Raymond CNRS Laboratoire d’Informatique d’Avignon
Jean-Michel Renders XEROX Research Centre Europe
Iead Rezek University of Oxford
Iead Rezek University of Oxford
Jorma Rissanen University of Helsinki, COSCo/HIIT Group
Nancy-Lara Robyn Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Yann Rodriguez Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Jeremy Rogers University of Southampton
Sami Romdani University of Basel
Dana Ron Tel Aviv University
Teemu Roos University of Helsinki, COSCo/HIIT Group
Lorenzo Rosasco University of Genova
Volker Roth ETH Zürich
Olga Roudenko Université Paris Sud
Juho Rousu Royal Holloway, University of London
Jarkko Salojärvi Helsinki University of Technology
Craig Saunders University of Southampton
Eerika Savia Helsinki University of Technology
Christin Schaefer Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Klaus Schittkowski University of Bayreuth
Cordelia Schmid Institut National de Recherche en Informatique et en Automatique
Michael Schmitt University of Bochum
Marc Schoenauer Université Paris Sud
Bernhard Schölkopf Max Planck Institut für Biologische Kybernetik
Anton Schwaighofer TU Graz
Michele Sebag Université Paris Sud
Marc Sebban Université Jean Monnet – Saint-Etienne
Shai Shalev-Shwartz Hebrew University of Jerusalem
John Shawe-Taylor University of Southampton
Li Sheng University of Sheffield
Tomi Silander University of Helsinki, COSCo/HIIT Group
Hans Simon University of Bochum
Yoram Singer Hebrew University of Jerusalem
Josef Sivic University of Oxford
Jim Smith University of Warwick
Alex Smola National ICT, Australia
Ed Snelson University College, London
Yosef Solewicz Bar Ilan University
Peter Sollich King’s College, London
Sören Sonnenburg Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Harald Steck ETH Zürich
Amos Storkey University of Edinburgh
Henri-Maxime Suchier Université Jean Monnet – Saint-Etienne
Suwannaroj Sujimarn University of Sheffield
Josephine Sullivan KTH Stockholm
Sandor Szedmak University of Southampton
Andrej Taranenko IMFM, Institute of Mathematics, Physics and Mechanics, Ljubljana
Bernadetta Tarigan Leiden University
Franck Thollard Université Jean Monnet – Saint-Etienne
Alexander Thomas Katholieke Universiteit Leuven
Henry Tirri University of Helsinki, COSCo/HIIT Group
Krisanathamaku Tisanai University of Sheffield
Naftali Tishby Hebrew University of Jerusalem
Michalis Titsias University of Edinburgh
Donald Michael Titterington University of Glasgow
Boremi Toch Aston University
Philip Torr University of Oxford
Juan-Manuel Torres CNRS Laboratoire d’Informatique d’Avignon
William Triggs Institut National de Recherche en Informatique et en Automatique
Oren Tsur Bar Ilan University
Tinne Tuytelaars Katholieke Universiteit Leuven
Esko Ukkonen University of Helsinki, COSCo/HIIT Group
Nicholas Usunier Université Pierre et Marie Curie (Paris 6)
Lluis Valentin UPC Barcelona
Harri Valpola Helsinki University of Technology
Sara van de Geer Leiden University
Peter van de Ven EURANDOM, Eindhoven
Aad van der Vaart EURANDOM, Eindhoven
Luc Van Gool ETH Zürich
Luc Van Gool Katholieke Universiteit Leuven
Manik Varma University of Oxford
Ben Veal LSE, London
Jarkko Venna Helsinki University of Technology
José Luis Verdú-Mas Universitat d’Alicante
Alessandro Verri University of Genova
Jean-Philippe Vert Université Pierre et Marie Curie (Paris 6)
Regis Vert Université Paris Sud
Thomas Vetter University of Basel
S V N Vishwanathan National ICT, Australia
Paul Vitányi Stichting Centrum Voor Wiskunde En Informatica
Jean-Noel Vittaut Université Pierre et Marie Curie (Paris 6)
Ulrike Von Luxburg Max Planck Institut für Biologische Kybernetik
Trang Vu Université Pierre et Marie Curie (Paris 6)
Lisa Wainer University College, London
Chris Watkins Royal Holloway, University of London
Jaap Wessels EURANDOM, Eindhoven
Hannes Wettig University of Helsinki, COSCo/HIIT Group
Christopher Williams University of Edinburgh
Robert Williamson National ICT, Australia
Kyoung-Jae Won University of Southampton
Henry Wynn EURANDOM, Eindhoven
Aziz Yahiaoui Université Jean Monnet – Saint-Etienne
Jianqiang Yang University of Southampton
Luca Zaniboni Università degli Studi di Milano
Philipp Zehnder ETH Zürich
Janez Žerovnik IMFM, Institute of Mathematics, Physics and Mechanics, Ljubljana
Dengyong Zhou Max Planck Institut für Biologische Kybernetik
Christian Zillober University of Bayreuth
Andrew Zisserman University of Oxford
Alex Zivanovic Imperial College
Onno Zoeter University of Nijmegen
Laurent Zwald Université Paris Sud

Computational, Information-Theoretic Learning with Statistics

Felix Agakov University of Edinburgh
Ankur Agarwal Institut National de Recherche en Informatique et en Automatique
Peter Ahrendt Technical University of Denmark
Massih Amini Université Pierre et Marie Curie (Paris 6)
Martin Anthony LSE, London
Hagai Aronowitz Bar Ilan University
Peter Auer University of Leoben
David Barber Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Yaroslav Basha Royal Holloway, University of London
Samy Bengio Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Lucien Birgé Université Pierre et Marie Curie (Paris 6)
Benjamin Blankertz Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Guillaume Bouchard Institut National de Recherche en Informatique et en Automatique
Stephane Boucheron Université Paris Sud
Olivier Bousquet Max Planck Institut für Biologische Kybernetik
Peter Bühlmann ETH Zürich
Joachim Buhmann ETH Zürich
Francesco Camastra University of Genova
Nicola Cancedda XEROX Research Centre Europe
Andrea Caponnetto University of Genova
Gemma Casas UPC Barcelona
Jorge Castro UPC Barcelona
Nicolò Cesa-Bianchi Università degli Studi di Milano
Olivier Chappelle Max Planck Institut für Biologische Kybernetik
Pierre Comon CNRS-Laboratoire I3S, Sophia-Antipolis
Alex Conconi Università degli Studi di Milano
Antoine Cornuéjols Université Paris Sud
Lehel Csató Max Planck Institut für Biologische Kybernetik
Chris Dance XEROX Research Centre Europe
A Philip Dawid University College, London
Colin de la Higuera Université Jean Monnet – Saint-Etienne
Ofer Dekel Hebrew University of Jerusalem
Ludovic Denoyer Université Pierre et Marie Curie (Paris 6)
Alessandro Di Bucchianico EURANDOM, Eindhoven
Christos Dimitrakakis Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Gyorgy Dorko Institut National de Recherche en Informatique et en Automatique
Jan Eichhorn Max Planck Institut für Biologische Kybernetik
Ran El-Yaniv Technion, Haifa
Farida Enikeeva EURANDOM, Eindhoven
Eyal Even-Dar Tel Aviv University
Patrik Floréen University of Helsinki, COSCo/HIIT Group
Olivier François University of Rouen
Matthias Franz Max Planck Institut für Biologische Kybernetik
Ignazio Gallo Universita dell’Insubria, Varese
Ricard Gavaldà UPC Barcelona
Claudio Gentile Universita dell’Insubria, Varese
Richard Gill EURANDOM, Eindhoven
Paul Goldberg University of Warwick
Yves Grandvalet UTC Compiègne
Arthur Gretton Max Planck Institut für Biologische Kybernetik
Peter Grünwald Stichting Centrum Voor Wiskunde En Informatica
Steve Gunn University of Southampton
Amaury Habrard Université Jean Monnet – Saint-Etienne
David Hardoon University of Southampton
Matthias Hein Max Planck Institut für Biologische Kybernetik
Mark Herbster University College, London
Antti Honkela Helsinki University of Technology
Jean-Christophe Janodet Université Jean Monnet – Saint-Etienne
Prashant Joshi TU Graz
Pierre Jourlin CNRS Laboratoire d’Informatique d’Avignon
Bert Kappen University of Nijmegen
Samuel Kaski Helsinki University of Technology
Joseph Keshet Hebrew University of Jerusalem
Andriy Kharechko University of Southampton
Jyrki Kivinen University of Helsinki, COSCo/HIIT Group
Arto Klami Helsinki University of Technology
Alexey Koloydenko EURANDOM, Eindhoven
Nir Krause Hebrew University of Jerusalem
Mikko Kurimo Helsinki University of Technology
Christine Largeron Université Jean Monnet – Saint-Etienne
Jan Larsen Technical University of Denmark
Steffen Lauritzen University of Oxford
Jure Leskovec Jozef Stefan Institute, Ljubljana
Jussi Lindgren University of Helsinki, COSCo/HIIT Group
Gaëlle Loosli University of Rouen
David Lowe Aston University
Rasmus Elsborg Madsen Technical University of Denmark
Dario Malchiodi Università degli Studi di Milano
Tuomo Malinen University of Helsinki, COSCo/HIIT Group
Yishay Mansour Tel Aviv University
Ron Meir Technion, Haifa
Anders Meng Technical University of Denmark
Taneli Mielikäinen University of Helsinki, COSCo/HIIT Group
Sebastian Mika Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Klaus-Robert Müller Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Thierry Murgue Université Jean Monnet – Saint-Etienne
Iain Murray University College, London
Petri Myllymäki University of Helsinki, COSCo/HIIT Group
Ian Nabney Aston University
Erkki Oja Helsinki University of Technology
Jose Oncina Universitat d’Alicante
Ronald Ortner University of Leoben
Emilio Parrado-Hernandez University of Southampton
Jaakko Peltonen Helsinki University of Technology
Fernando Perez-Cruz University College, London
Tomaž Pisanski IMFM, Institute of Mathematics, Physics and Mechanics, Ljubljana
Norman Poh Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Massimiliano Pontil University College, London
Adam Prügel-Bennett University of Southampton
Kai Puolamäki Helsinki University of Technology
Tapani Raiko Helsinki University of Technology
Liva Ralaivola Université Pierre et Marie Curie (Paris 6)
Carl Edward Rasmussen Max Planck Institut für Biologische Kybernetik
Joel Ratsaby University College, London
Gunnar Rätsch Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Iead Rezek University of Oxford
Yann Rodriguez Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Jeremy Rogers University of Southampton
Dana Ron Tel Aviv University
Teemu Roos University of Helsinki, COSCo/HIIT Group
Lorenzo Rosasco University of Genova
Volker Roth ETH Zürich
Eerika Savia Helsinki University of Technology
Michael Schmitt University of Bochum
John Shawe-Taylor University of Southampton
Hans Simon University of Bochum
Yoram Singer Hebrew University of Jerusalem
Jim Smith University of Warwick
Ed Snelson University College, London
Peter Sollich King’s College, London
Sören Sonnenburg Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Amos Storkey University of Edinburgh
Henri-Maxime Suchier Université Jean Monnet – Saint-Etienne
Henry Tirri University of Helsinki, COSCo/HIIT Group
Michalis Titsias University of Edinburgh
Philip Torr University of Oxford
William Triggs Institut National de Recherche en Informatique et en Automatique
Esko Ukkonen University of Helsinki, COSCo/HIIT Group
Sara van de Geer Leiden University
Jean-Philippe Vert Université Pierre et Marie Curie (Paris 6)
S V N Vishwanathan National ICT, Australia
Ulrike Von Luxburg Max Planck Institut für Biologische Kybernetik
Lisa Wainer University College, London
Chris Watkins Royal Holloway, University of London
Hannes Wettig University of Helsinki, COSCo/HIIT Group
Christopher Williams University of Edinburgh
Luca Zaniboni Università degli Studi di Milano
Janez Žerovnik IMFM, Institute of Mathematics, Physics and Mechanics, Ljubljana
Dengyong Zhou Max Planck Institut für Biologische Kybernetik
Andrew Zisserman University of Oxford

Learning/Statistics & Optimisation

Douglas Aberdeen National ICT, Australia
Felix Agakov University of Edinburgh
Ankur Agarwal Institut National de Recherche en Informatique et en Automatique
Navot Akiva Bar Ilan University
Massih Amini Université Pierre et Marie Curie (Paris 6)
Martin Anthony LSE, London
Hagai Aronowitz Bar Ilan University
Thierry Artieres Université Pierre et Marie Curie (Paris 6)
Peter Auer University of Leoben
David Barber Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Yaroslav Basha Royal Holloway, University of London
Samy Bengio Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Lucien Birgé Université Pierre et Marie Curie (Paris 6)
Benjamin Blankertz Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Guillaume Bouchard Institut National de Recherche en Informatique et en Automatique
Stephane Boucheron Université Paris Sud
Olivier Bousquet Max Planck Institut für Biologische Kybernetik
Charles Bouveyron Institut National de Recherche en Informatique et en Automatique
Matthieu Bray ETH Zürich
Peter Bühlmann ETH Zürich
Joachim Buhmann ETH Zürich
Francesco Camastra University of Genova
Nicola Cancedda XEROX Research Centre Europe
Andrea Caponnetto University of Genova
Xavier Carreras UPC Barcelona
Gemma Casas UPC Barcelona
Olivier Chappelle Max Planck Institut für Biologische Kybernetik
Pierre Comon CNRS-Laboratoire I3S, Sophia-Antipolis
Alex Conconi Università degli Studi di Milano
Antoine Cornuéjols Université Paris Sud
Lehel Csató Max Planck Institut für Biologische Kybernetik
Walter Daelemans University of Antwerp
Ido Dagan Bar Ilan University
Florence d’Alché-Buc Université Pierre et Marie Curie (Paris 6)
Chris Dance XEROX Research Centre Europe
A Philip Dawid University College, London
Ofer Dekel Hebrew University of Jerusalem
Ludovic Denoyer Université Pierre et Marie Curie (Paris 6)
Christos Dimitrakakis Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Gyorgy Dorko Institut National de Recherche en Informatique et en Automatique
Farida Enikeeva EURANDOM, Eindhoven
Eyal Even-Dar Tel Aviv University
Theodoros Evgeniou INSEAD, Paris
Patrik Floréen University of Helsinki, COSCo/HIIT Group
Olivier François University of Rouen
Ignazio Gallo Universita dell’Insubria, Varese
Ricard Gavaldà UPC Barcelona
Claudio Gentile Universita dell’Insubria, Varese
Richard Gill EURANDOM, Eindhoven
Cyril Goutte XEROX Research Centre Europe
Yves Grandvalet UTC Compiègne
Arthur Gretton Max Planck Institut für Biologische Kybernetik
Marko Grobelnik Jozef Stefan Institute, Ljubljana
Peter Grünwald Stichting Centrum Voor Wiskunde En Informatica
Steve Gunn University of Southampton
Gregory Gutin Royal Holloway, University of London
Amaury Habrard Université Jean Monnet – Saint-Etienne
Matthias Hein Max Planck Institut für Biologische Kybernetik
Mark Herbster University College, London
Antti Honkela Helsinki University of Technology
Jean-Christophe Janodet Université Jean Monnet – Saint-Etienne
Prashant Joshi TU Graz
Pierre Jourlin CNRS Laboratoire d’Informatique d’Avignon
Bert Kappen University of Nijmegen
Samuel Kaski Helsinki University of Technology
Mikaela Keller Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Joseph Keshet Hebrew University of Jerusalem
Andriy Kharechko University of Southampton
Arto Klami Helsinki University of Technology
Nir Krause Hebrew University of Jerusalem
Mikko Kurimo Helsinki University of Technology
Raffaella Lanzarotti Università degli Studi di Milano
Christine Largeron Université Jean Monnet – Saint-Etienne
Jan Larsen Technical University of Denmark
Steffen Lauritzen University of Oxford
Nada Lavrac Jozef Stefan Institute, Ljubljana
Jure Leskovec Jozef Stefan Institute, Ljubljana
Marie-Jeanne Lesot Université Pierre et Marie Curie (Paris 6)
Jussi Lindgren University of Helsinki, COSCo/HIIT Group
Gaëlle Loosli University of Rouen
David Lowe Aston University
Dario Malchiodi Università degli Studi di Milano
Tuomo Malinen University of Helsinki, COSCo/HIIT Group
Yishay Mansour Tel Aviv University
Klaus Meer University of Southern Denmark, Odense
Ron Meir Technion, Haifa
Anders Meng Technical University of Denmark
Taneli Mielikäinen University of Helsinki, COSCo/HIIT Group
Sebastian Mika Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Dunja Mladenić Jozef Stefan Institute, Ljubljana
Klaus-Robert Müller Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Thierry Murgue Université Jean Monnet – Saint-Etienne
Iain Murray University College, London
Petri Myllymäki University of Helsinki, COSCo/HIIT Group
Ian Nabney Aston University
Anthony O’Hagan University of Sheffield
Erkki Oja Helsinki University of Technology
Jose Oncina Universitat d’Alicante
Emilio Parrado-Hernandez University of Southampton
Mudigonda Pawan Kumar University of Oxford
Jaakko Peltonen Helsinki University of Technology
Fernando Perez-Cruz University College, London
Tomaž Pisanski IMFM, Institute of Mathematics, Physics and Mechanics, Ljubljana
Norman Poh Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Massimiliano Pontil University College, London
Ioana Popescu INSEAD, Paris
Adam Prügel-Bennett University of Southampton
Kai Puolamäki Helsinki University of Technology
Tapani Raiko Helsinki University of Technology
Alain Rakotomamonjy University of Rouen
Liva Ralaivola Université Pierre et Marie Curie (Paris 6)
Carl Edward Rasmussen Max Planck Institut für Biologische Kybernetik
Joel Ratsaby University College, London
Gunnar Rätsch Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Iead Rezek University of Oxford
Yann Rodriguez Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Jeremy Rogers University of Southampton
Dana Ron Tel Aviv University
Teemu Roos University of Helsinki, COSCo/HIIT Group
Lorenzo Rosasco University of Genova
Volker Roth ETH Zürich
Olga Roudenko Université Paris Sud
Juho Rousu Royal Holloway, University of London
Jarkko Salojärvi Helsinki University of Technology
Eerika Savia Helsinki University of Technology
Klaus Schittkowski University of Bayreuth
Cordelia Schmid Institut National de Recherche en Informatique et en Automatique
Michael Schmitt University of Bochum
Marc Schoenauer Université Paris Sud
Anton Schwaighofer TU Graz
Michele Sebag Université Paris Sud
John Shawe-Taylor University of Southampton
Hans Simon University of Bochum
Yoram Singer Hebrew University of Jerusalem
Jim Smith University of Warwick
Ed Snelson University College, London
Peter Sollich King’s College, London
Sören Sonnenburg Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Amos Storkey University of Edinburgh
Henri-Maxime Suchier Université Jean Monnet – Saint-Etienne
Michalis Titsias University of Edinburgh
Philip Torr University of Oxford
William Triggs Institut National de Recherche en Informatique et en Automatique
Oren Tsur Bar Ilan University
Tinne Tuytelaars Katholieke Universiteit Leuven
Esko Ukkonen University of Helsinki, COSCo/HIIT Group
Alessandro Verri University of Genova
Regis Vert Université Paris Sud
Jean-Philippe Vert Université Pierre et Marie Curie (Paris 6)
Thomas Vetter University of Basel
S V N Vishwanathan National ICT, Australia
Ulrike Von Luxburg Max Planck Institut für Biologische Kybernetik
Lisa Wainer University College, London
Chris Watkins Royal Holloway, University of London
Hannes Wettig University of Helsinki, COSCo/HIIT Group
Christopher Williams University of Edinburgh
Jianqiang Yang University of Southampton
Philipp Zehnder ETH Zürich
Janez Žerovnik IMFM, Institute of Mathematics, Physics and Mechanics, Ljubljana
Dengyong Zhou Max Planck Institut für Biologische Kybernetik
Christian Zillober University of Bayreuth
Andrew Zisserman University of Oxford
Onno Zoeter University of Nijmegen

Theory & Algorithms

Felix Agakov University of Edinburgh
Massih Amini Université Pierre et Marie Curie (Paris 6)
Martin Anthony LSE, London
Hagai Aronowitz Bar Ilan University
Peter Auer University of Leoben
Jaume Baixeries UPC Barcelona
José Balcázar UPC Barcelona
David Barber Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Samy Bengio Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Benjamin Blankertz Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Guillaume Bouchard Institut National de Recherche en Informatique et en Automatique
Stephane Boucheron Université Paris Sud
Hervé Bourlard Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Olivier Bousquet Max Planck Institut für Biologische Kybernetik
Charles Bouveyron Institut National de Recherche en Informatique et en Automatique
Matthieu Bray ETH Zürich
Peter Bühlmann ETH Zürich
Joachim Buhmann ETH Zürich
Francesco Camastra University of Genova
Nicola Cancedda XEROX Research Centre Europe
Andrea Caponnetto University of Genova
Xavier Carreras UPC Barcelona
Gemma Casas UPC Barcelona
Jorge Castro UPC Barcelona
Nicolò Cesa-Bianchi Università degli Studi di Milano
Olivier Chappelle Max Planck Institut für Biologische Kybernetik
Alexander Clark University of Geneva
Pierre Comon CNRS-Laboratoire I3S, Sophia-Antipolis
Antoine Cornuéjols Université Paris Sud
Lehel Csató Max Planck Institut für Biologische Kybernetik
Florence d’Alché-Buc Université Pierre et Marie Curie (Paris 6)
Chris Dance XEROX Research Centre Europe
A Philip Dawid University College, London
Colin de la Higuera Université Jean Monnet – Saint-Etienne
Ofer Dekel Hebrew University of Jerusalem
José del R Millán Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Christos Dimitrakakis Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Gyorgy Dorko Institut National de Recherche en Informatique et en Automatique
Ran El-Yaniv Technion, Haifa
Eyal Even-Dar Tel Aviv University
Theodoros Evgeniou INSEAD, Paris
Rémi Eyraud Université Jean Monnet – Saint-Etienne
Patrik Floréen University of Helsinki, COSCo/HIIT Group
Patrick Gallinari Université Pierre et Marie Curie (Paris 6)
Ricard Gavaldà UPC Barcelona
Claudio Gentile Universita dell’Insubria, Varese
Richard Gill EURANDOM, Eindhoven
Paul Goldberg University of Warwick
Cyril Goutte XEROX Research Centre Europe
Yves Grandvalet UTC Compiègne
Arthur Gretton Max Planck Institut für Biologische Kybernetik
Marko Grobelnik Jozef Stefan Institute, Ljubljana
Peter Grünwald Stichting Centrum Voor Wiskunde En Informatica
Steve Gunn University of Southampton
Gregory Gutin Royal Holloway, University of London
Amaury Habrard Université Jean Monnet – Saint-Etienne
David Hardoon University of Southampton
Matthias Hein Max Planck Institut für Biologische Kybernetik
Mark Herbster University College, London
Hynek Hermansky Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Antti Honkela Helsinki University of Technology
Jean-Christophe Janodet Université Jean Monnet – Saint-Etienne
Prashant Joshi TU Graz
Bert Kappen University of Nijmegen
Samuel Kaski Helsinki University of Technology
Mikaela Keller Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Joseph Keshet Hebrew University of Jerusalem
Andriy Kharechko University of Southampton
Jyrki Kivinen University of Helsinki, COSCo/HIIT Group
Arto Klami Helsinki University of Technology
Nir Krause Hebrew University of Jerusalem
Mikko Kurimo Helsinki University of Technology
Jan Larsen Technical University of Denmark
Steffen Lauritzen University of Oxford
Nada Lavrac Jozef Stefan Institute, Ljubljana
Tue Lehn-Schiøler Technical University of Denmark
Marie-Jeanne Lesot Université Pierre et Marie Curie (Paris 6)
David Lowe Aston University
Rasmus Elsborg Madsen Technical University of Denmark
Dario Malchiodi Università degli Studi di Milano
Tuomo Malinen University of Helsinki, COSCo/HIIT Group
Yishay Mansour Tel Aviv University
Klaus Meer University of Southern Denmark, Odense
Ron Meir Technion, Haifa
Taneli Mielikäinen University of Helsinki, COSCo/HIIT Group
Sebastian Mika Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Dunja Mladenić Jozef Stefan Institute, Ljubljana
Klaus-Robert Müller Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Thierry Murgue Université Jean Monnet – Saint-Etienne
Iain Murray University College, London
Petri Myllymäki University of Helsinki, COSCo/HIIT Group
Ian Nabney Aston University
Erkki Oja Helsinki University of Technology
Ronald Ortner University of Leoben
Emilio Parrado-Hernandez University of Southampton
Jaakko Peltonen Helsinki University of Technology
Fernando Perez-Cruz University College, London
Tomaž Pisanski IMFM, Institute of Mathematics, Physics and Mechanics, Ljubljana
Norman Poh Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Massimiliano Pontil University College, London
Adam Prügel-Bennett University of Southampton
Kai Puolamäki Helsinki University of Technology
Tapani Raiko Helsinki University of Technology
Alain Rakotomamonjy University of Rouen
Liva Ralaivola Université Pierre et Marie Curie (Paris 6)
Carl Edward Rasmussen Max Planck Institut für Biologische Kybernetik
Gunnar Rätsch Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Iead Rezek University of Oxford
Jeremy Rogers University of Southampton
Dana Ron Tel Aviv University
Teemu Roos University of Helsinki, COSCo/HIIT Group
Lorenzo Rosasco University of Genova
Juho Rousu Royal Holloway, University of London
Jarkko Salojärvi Helsinki University of Technology
Eerika Savia Helsinki University of Technology
Klaus Schittkowski University of Bayreuth
Michael Schmitt University of Bochum
Marc Schoenauer Université Paris Sud
Anton Schwaighofer TU Graz
Michele Sebag Université Paris Sud
John Shawe-Taylor University of Southampton
Hans Simon University of Bochum
Jim Smith University of Warwick
Ed Snelson University College, London
Peter Sollich King’s College, London
Sören Sonnenburg Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Amos Storkey University of Edinburgh
Henry Tirri University of Helsinki, COSCo/HIIT Group
Philip Torr University of Oxford
William Triggs Institut National de Recherche en Informatique et en Automatique
Oren Tsur Bar Ilan University
Esko Ukkonen University of Helsinki, COSCo/HIIT Group
Harri Valpola Helsinki University of Technology
Sara van de Geer Leiden University
Alessandro Verri University of Genova
Jean-Philippe Vert Université Pierre et Marie Curie (Paris 6)
Regis Vert Université Paris Sud
Thomas Vetter University of Basel
S V N Vishwanathan National ICT, Australia
Lisa Wainer University College, London
Hannes Wettig University of Helsinki, COSCo/HIIT Group
Christopher Williams University of Edinburgh
Jianqiang Yang University of Southampton
Luca Zaniboni Università degli Studi di Milano
Janez Žerovnik IMFM, Institute of Mathematics, Physics and Mechanics, Ljubljana
Christian Zillober University of Bayreuth
Onno Zoeter University of Nijmegen

Machine Vision

Felix Agakov University of Edinburgh
Ankur Agarwal Institut National de Recherche en Informatique et en Automatique
Peter Auer University of Leoben
David Barber Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Samy Bengio Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Guillaume Bouchard Institut National de Recherche en Informatique et en Automatique
Charles Bouveyron Institut National de Recherche en Informatique et en Automatique
Matthieu Bray ETH Zürich
Joachim Buhmann ETH Zürich
Francesco Camastra University of Genova
Andrea Caponnetto University of Genova
Olivier Chappelle Max Planck Institut für Biologische Kybernetik
Antoine Cornuéjols Université Paris Sud
Lehel Csató Max Planck Institut für Biologische Kybernetik
Chris Dance XEROX Research Centre Europe
Gyorgy Dorko Institut National de Recherche en Informatique et en Automatique
Jan Eichhorn Max Planck Institut für Biologische Kybernetik
Matthias Franz Max Planck Institut für Biologische Kybernetik
Ignazio Gallo Universita dell’Insubria, Varese
Paul Goldberg University of Warwick
Steve Gunn University of Southampton
Amaury Habrard Université Jean Monnet – Saint-Etienne
David Hardoon University of Southampton
Prashant Joshi TU Graz
Alexey Koloydenko EURANDOM, Eindhoven
Raffaella Lanzarotti Università degli Studi di Milano
Jure Leskovec Jozef Stefan Institute, Ljubljana
Jussi Lindgren University of Helsinki, COSCo/HIIT Group
David Lowe Aston University
Ian Nabney Aston University
Erkki Oja Helsinki University of Technology
Mudigonda Pawan Kumar University of Oxford
Norman Poh Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Massimiliano Pontil University College, London
Adam Prügel-Bennett University of Southampton
Tapani Raiko Helsinki University of Technology
Alain Rakotomamonjy University of Rouen
Yann Rodriguez Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Lorenzo Rosasco University of Genova
Volker Roth ETH Zürich
Cordelia Schmid Institut National de Recherche en Informatique et en Automatique
John Shawe-Taylor University of Southampton
Amos Storkey University of Edinburgh
Henri-Maxime Suchier Université Jean Monnet – Saint-Etienne
Michalis Titsias University of Edinburgh
Philip Torr University of Oxford
William Triggs Institut National de Recherche en Informatique et en Automatique
Tinne Tuytelaars Katholieke Universiteit Leuven
Luc Van Gool Katholieke Universiteit Leuven
Alessandro Verri University of Genova
Thomas Vetter University of Basel
Christopher Williams University of Edinburgh
Jianqiang Yang University of Southampton
Philipp Zehnder ETH Zürich
Andrew Zisserman University of Oxford

Speech

Felix Agakov University of Edinburgh
Peter Ahrendt Technical University of Denmark
Hagai Aronowitz Bar Ilan University
David Barber Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Samy Bengio Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Hervé Bourlard Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Walter Daelemans University of Antwerp
Colin de la Higuera Université Jean Monnet – Saint-Etienne
Amaury Habrard Université Jean Monnet – Saint-Etienne
Hynek Hermansky Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Prashant Joshi TU Graz
Pierre Jourlin CNRS Laboratoire d’Informatique d’Avignon
Joseph Keshet Hebrew University of Jerusalem
Alexey Koloydenko EURANDOM, Eindhoven
Mikko Kurimo Helsinki University of Technology
Jan Larsen Technical University of Denmark
David Lowe Aston University
Dominique Massonie CNRS Laboratoire d’Informatique d’Avignon
Anders Meng Technical University of Denmark
Sebastian Mika Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Dunja Mladenić Jozef Stefan Institute, Ljubljana
Erkki Oja Helsinki University of Technology
Norman Poh Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Tapani Raiko Helsinki University of Technology
John Shawe-Taylor University of Southampton
Yoram Singer Hebrew University of Jerusalem
Henri-Maxime Suchier Université Jean Monnet – Saint-Etienne

Haptics

Thierry Artieres Université Pierre et Marie Curie (Paris 6)
José del R Millán Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Patrick Gallinari Université Pierre et Marie Curie (Paris 6)
Prashant Joshi TU Graz
Klaus-Robert Müller Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
John Shawe-Taylor University of Southampton
Alex Zivanovic Imperial College

Brain Computer Interfaces

Felix Agakov University of Edinburgh
Samy Bengio Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Benjamin Blankertz Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Chris Dance XEROX Research Centre Europe
José del R Millán Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Ran El-Yaniv Technion, Haifa
Arthur Gretton Max Planck Institut für Biologische Kybernetik
David Hardoon University of Southampton
Prashant Joshi TU Graz
Bert Kappen University of Nijmegen
Andriy Kharechko University of Southampton
Thomas Navin Lal Max Planck Institut für Biologische Kybernetik
Raffaella Lanzarotti Università degli Studi di Milano
Dario Malchiodi Università degli Studi di Milano
Ron Meir Technion, Haifa
Klaus-Robert Müller Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Alain Rakotomamonjy University of Rouen
Iead Rezek University of Oxford
Anton Schwaighofer TU Graz
Michele Sebag Université Paris Sud
John Shawe-Taylor University of Southampton

Natural Language Processing

Navot Akiva Bar Ilan University
David Barber Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Nicola Cancedda XEROX Research Centre Europe
Andrea Caponnetto University of Genova
Xavier Carreras UPC Barcelona
Jorge Castro UPC Barcelona
Fabio Ciravegna University of Sheffield
Alexander Clark University of Geneva
Walter Daelemans University of Antwerp
Ido Dagan Bar Ilan University
Colin de la Higuera Université Jean Monnet – Saint-Etienne
Ofer Dekel Hebrew University of Jerusalem
Ludovic Denoyer Université Pierre et Marie Curie (Paris 6)
Ran El-Yaniv Technion, Haifa
Rémi Eyraud Université Jean Monnet – Saint-Etienne
Eric Gaussier XEROX Research Centre Europe
Claudio Gentile Universita dell’Insubria, Varese
Cyril Goutte XEROX Research Centre Europe
Marko Grobelnik Jozef Stefan Institute, Ljubljana
Amaury Habrard Université Jean Monnet – Saint-Etienne
Jean-Christophe Janodet Université Jean Monnet – Saint-Etienne
Pierre Jourlin CNRS Laboratoire d’Informatique d’Avignon
Samuel Kaski Helsinki University of Technology
Joseph Keshet Hebrew University of Jerusalem
Arto Klami Helsinki University of Technology
Nir Krause Hebrew University of Jerusalem
Mikko Kurimo Helsinki University of Technology
Christine Largeron Université Jean Monnet – Saint-Etienne
Jan Larsen Technical University of Denmark
Jure Leskovec Jozef Stefan Institute, Ljubljana
Rasmus Elsborg Madsen Technical University of Denmark
Dominique Massonie CNRS Laboratoire d’Informatique d’Avignon
Sebastian Mika Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Dunja Mladenić Jozef Stefan Institute, Ljubljana
Erkki Oja Helsinki University of Technology
Jaakko Peltonen Helsinki University of Technology
Tapani Raiko Helsinki University of Technology
Anton Schwaighofer TU Graz
John Shawe-Taylor University of Southampton
Hans Simon University of Bochum
Yoram Singer Hebrew University of Jerusalem
Sören Sonnenburg Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Oren Tsur Bar Ilan University
Jianqiang Yang University of Southampton

Information Retrieval & Textual Information Access

Douglas Aberdeen National ICT, Australia
Felix Agakov University of Edinburgh
Peter Ahrendt Technical University of Denmark
Navot Akiva Bar Ilan University
Massih Amini Université Pierre et Marie Curie (Paris 6)
Peter Auer University of Leoben
David Barber Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Samy Bengio Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Joachim Buhmann ETH Zürich
Francesco Camastra University of Genova
Nicola Cancedda XEROX Research Centre Europe
Nicolò Cesa-Bianchi Università degli Studi di Milano
Fabio Ciravegna University of Sheffield
Alex Conconi Università degli Studi di Milano
Walter Daelemans University of Antwerp
Ido Dagan Bar Ilan University
Florence d’Alché-Buc Université Pierre et Marie Curie (Paris 6)
Colin de la Higuera Université Jean Monnet – Saint-Etienne
Ofer Dekel Hebrew University of Jerusalem
Ludovic Denoyer Université Pierre et Marie Curie (Paris 6)
Ran El-Yaniv Technion, Haifa
Patrik Floréen University of Helsinki, COSCo/HIIT Group
Patrick Gallinari Université Pierre et Marie Curie (Paris 6)
Eric Gaussier XEROX Research Centre Europe
Claudio Gentile Universita dell’Insubria, Varese
Cyril Goutte XEROX Research Centre Europe
Marko Grobelnik Jozef Stefan Institute, Ljubljana
Steve Gunn University of Southampton
David Hardoon University of Southampton
Jean-Christophe Janodet Université Jean Monnet – Saint-Etienne
Pierre Jourlin CNRS Laboratoire d’Informatique d’Avignon
Samuel Kaski Helsinki University of Technology
Mikaela Keller Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Andriy Kharechko University of Southampton
Arto Klami Helsinki University of Technology
Alexey Koloydenko EURANDOM, Eindhoven
Mikko Kurimo Helsinki University of Technology
Christine Largeron Université Jean Monnet – Saint-Etienne
Jan Larsen Technical University of Denmark
Nada Lavrac Jozef Stefan Institute, Ljubljana
Jure Leskovec Jozef Stefan Institute, Ljubljana
Marie-Jeanne Lesot Université Pierre et Marie Curie (Paris 6)
David Lowe Aston University
Rasmus Elsborg Madsen Technical University of Denmark
Anders Meng Technical University of Denmark
Taneli Mielikäinen University of Helsinki, COSCo/HIIT Group
Dunja Mladenić Jozef Stefan Institute, Ljubljana
Petri Myllymäki University of Helsinki, COSCo/HIIT Group
Ian Nabney Aston University
Erkki Oja Helsinki University of Technology
Emilio Parrado-Hernandez University of Southampton
Jaakko Peltonen Helsinki University of Technology
Kai Puolamäki Helsinki University of Technology
Juho Rousu Royal Holloway, University of London
Jarkko Salojärvi Helsinki University of Technology
Eerika Savia Helsinki University of Technology
Anton Schwaighofer TU Graz
Michele Sebag Université Paris Sud
John Shawe-Taylor University of Southampton
Henry Tirri University of Helsinki, COSCo/HIIT Group
Philip Torr University of Oxford
Oren Tsur Bar Ilan University
Esko Ukkonen University of Helsinki, COSCo/HIIT Group
Luc Van Gool Katholieke Universiteit Leuven
S V N Vishwanathan National ICT, Australia
Luca Zaniboni Università degli Studi di Milano
Dengyong Zhou Max Planck Institut für Biologische Kybernetik
Andrew Zisserman University of Oxford

Multimodal Integration

David Barber Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Samy Bengio Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Hervé Bourlard Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Francesco Camastra University of Genova
Alexander Clark University of Geneva
Chris Dance XEROX Research Centre Europe
José del R Millán Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Theodoros Evgeniou INSEAD, Paris
Steve Gunn University of Southampton
Mark Herbster University College, London
Hynek Hermansky Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Pierre Jourlin CNRS Laboratoire d’Informatique d’Avignon
Samuel Kaski Helsinki University of Technology
Mikko Kurimo Helsinki University of Technology
Jan Larsen Technical University of Denmark
Tue Lehn-Schiøler Technical University of Denmark
David Lowe Aston University
Dario Malchiodi Università degli Studi di Milano
Ian Nabney Aston University
Erkki Oja Helsinki University of Technology
Norman Poh Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Massimiliano Pontil University College, London
Kai Puolamäki Helsinki University of Technology
Iead Rezek University of Oxford
Jarkko Salojärvi Helsinki University of Technology
John Shawe-Taylor University of Southampton
Amos Storkey University of Edinburgh
Harri Valpola Helsinki University of Technology
Jianqiang Yang University of Southampton

User Modelling for Computer Human Interaction

Thierry Artieres Université Pierre et Marie Curie (Paris 6)
Benjamin Blankertz Fraunhofer-Institut für Rechnerarchitektur und Softwaretechnik
Fabio Ciravegna University of Sheffield
Alexander Clark University of Geneva
Colin de la Higuera Université Jean Monnet – Saint-Etienne
José del R Millán Fondation de l’Institut Dalle Molle d’Intelligence Artificielle Perceptive
Theodoros Evgeniou INSEAD, Paris
Patrik Floréen University of Helsinki, COSCo/HIIT Group
Patrick Gallinari Université Pierre et Marie Curie (Paris 6)
Marko Grobelnik Jozef Stefan Institute, Ljubljana
Steve Gunn University of Southampton
David Hardoon University of Southampton
Samuel Kaski Helsinki University of Technology
Joseph Keshet Hebrew University of Jerusalem
Mikko Kurimo Helsinki University of Technology
Christine Largeron Université Jean Monnet – Saint-Etienne
Tue Lehn-Schiøler Technical University of Denmark
Gaëlle Loosli University of Rouen
Thierry Murgue Université Jean Monnet – Saint-Etienne
Petri Myllymäki University of Helsinki, COSCo/HIIT Group
Kai Puolamäki Helsinki University of Technology
Alain Rakotomamonjy University of Rouen
Iead Rezek University of Oxford
Jarkko Salojärvi Helsinki University of Technology
Eerika Savia Helsinki University of Technology
John Shawe-Taylor University of Southampton
Jim Smith University of Warwick
Henry Tirri University of Helsinki, COSCo/HIIT Group
Philip Torr University of Oxford
Luc Van Gool Katholieke Universiteit Leuven
Dengyong Zhou Max Planck Institut für Biologische Kybernetik

 

Challenges for Building Multimodal Interfaces Thematic Programme
1 December 2003 – 30 June 2004

This is PASCAL’s first thematic programme. Its goals are :

  • In general, to start an extended dialogue and flow of ideas between the machine learning, statistical modelling and algorithms communities on the one hand, and researchers working on monomodal and multimodal interfaces to various sensing modalities including vision, text & speech, haptics, and brain-computer interfaces on the other.
  • Specifically, to select the most promising areas for future interdisciplinary research on learning based approaches to multimodal interfaces during PASCAL.

The programme’s activities are focused around four thematic workshops and the preparation of asssociated challenge datasets.

Interfacing Bayesian and Frequentist Approaches Thematic Programme
1 July – 31 December 2004

This is PASCAL’s second thematic programme. This scientific programme will bring together researchers from the two main statistical frameworks underlying machine learning. Its goals are :

  • develop greater understanding and interaction between the two approaches.
  • Highlight and develop areas in which successful interaction has already develop in for example the two views of the covariance/kernel matrix and PAC-Bayesian analysis.
  • Extend the frequentist analysis of Bayesian methods and import the Bayesian viewpoint and approach into statistical learning approaches.

The programme’s activities are focused around four thematic workshops and a summer school.

Linking Learning and Statistics with Optimisation Thematic Programme
1 January – 30 June 2005

This is PASCAL’s third thematic programme. This scientific programme will bring together researchers around the common theme of generating learning goals from statistics and translating these into optimisation problems. Its goals are :

  • the use of statistical analyses to understand and motivate learning algorithms.
  • The translation of statistical bounds into corresponding constrained optimisation problems.
  • The development of optimisation methods that can expedite the solution of problems arising from machine learning tasks.

The programme’s activities are focused around workshops and a summer school.

On-line User Modelling and Reinforcement Learning Thematic Programme
1 July – 31 December 2005

This thematic programme investigates the application of reinforcement learning (RL) techniques to the design of intelligent and adaptive user interfaces. The activities of the programme are focused around workshops and a open house.

Learning with Complex and Structured Outputs Thematic Programme
1 December 2005 – 30 June 2006

This is PASCAL’s fifth thematic programme. This scientific programme will bring together researchers around two themes:

  • Firstly, learning tasks where the target is complex (i.e. large number of different predictions) but has structure (sequence, tree, graph) that can be utilized for learning effectively.
  • Secondly, multi-task learning, where several dependent learning tasks are to be tackled at once.

The areas of interest of this thematic programme are the following:

  • Feature representations for structured and multi-task learning problems that enable effective learning
  • Efficient optimization and inference algorithms required to make learning tractable
  • Isolation of benchmark learning problems and challenges to fuel research in structured output and multi-task learning

 Intelligent Information Access Thematic Programme
1 July – 31 December 2006

Semantic information recognition and extraction is the major enabler for next generation information retrieval and natural language processing. Yet it is currently only successful in small domains of limited scope. We claim that to move beyond this restriction requires one:

  • to perform integrated semantic extraction incorporating a probabilistic representation of semantic content, and
  • to better employ the broader semantic resources now coming on-line.

This project will explore both fundamental research and large scale applications, using the public domain Wikipedia as a driver and a resource. Research will explore the integration of semantic information into the language processing chain. Applications will employ this in broad spectrum named-entity recognition, and in cross-lingual information retrieval using the rich but incomplete data available fron the Wikipedia. Three PASCAL sites will contribute pre-existing software, theory, and skills to the range of tasks involved.

Computational Neuroscience and Brain-Computer Interfaces Thematic Programme
1 November 2006 – 30 June 2007

This thematic programme is devoted to the topic ‘Computational Neuroscience’ with a focus on macroscopic brain signals and the application field ‘Brain-Computer Interfaces’. Computation Neuroscience and in particular BCI systems gain quickly increasing interest by the Maschine Learning community which is, e.g., reflected by the number labs that were participating in the BCI Competitions I to III increasing from 8 to 20 to 49. Nevertheless it turns out that the application of advanced statistical methods to neuroscientific problems often requires interdisciplinary experience and skills. The improvement of those abilities is the aim of this thematic programme.

Cognitive Learning: Language, Movement and Vision Thematic Programme
1 December 2006 – 30 June 2007

Cognitive Science, the interdisciplinary study of the nature of mind and intelligence is centrally concerned with learning, a defining characteristic of intelligence in general and of humans in particular. The theoretical study of learning, and the practical techniques developed in ML communities represented by PASCAL have now reached the level where many of the learning problems studied in cognitive science can be realistically tackled. PASCAL includes many researchers interested in computational linguistics, grammatical inference, vision and other domains which are potentially closely related to cognitive science. This thematic program will try to market machine learning to an audience in cognitive science, and also identify problems in cognitive science that have not yet been explored by machine learning researchers.

Learning in Computational and Systems Biology Thematic Programme
1 March – 30 September 2007

In this thematic programme we will consider how machine learning can be brought to bear in knowledge driven systems biology models. Our key aim will be to bridge a perceived gap between data driven computational biology models and systems biology models that are inspired by a knowledge of the actual underlying molecular interactions. We are proposing three workshops on parameter estimation in systems biology, probabilistic modelling of cellular networks and pathways and practical approaches to inference in large biological systems. The Thematic Programme will run on this subject between March and September 2007.

Graph Theory Methods in Machine Learning Thematic Programme
1 June – 30 September 2007

The thematic programme is relatively short spanning just four months over the summer of 2007. The programme is initiated by a workshop in Spain looking at graph representations for learning co-organised with centres not directly involved in PASCAL, but very much at the core of one of the main links between machine learning and graph theory. It is in the same vein as the workshop organised this year in Berlin looking at graph theory methods for learning. The second event also in June is a workshop associated with a graph theory conference being organised by the IMFM PASCAL site in Bled, Slovenia. The third event is a workshop to be held in Tuscany on the topic of Mining and Learning with Graphs (MLG 2007). The final two events will be a summer school organised in Helsinki focussing on bioinformatics and an open house whose location is yet to be determined.

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