SLCV CfP

[Horst Bischof]

                             *** Last Call for Papers ***
                                            SLCV 2004
          ECCV International Workshop on Statistical Learning in 
Computer Vision
          Workshop on Statistical Learning in Computer Vision
                         http://slcv.icg.tu-graz.ac.at/

                  May 15, 2004
              Prague, Czech Republic
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SLCV 2004 is held in conjunction with ECCV 2004 
http://cmp.felk.cvut.cz/eccv2004/

DATES

Paper submission: 1 February 2004, 24:00 CET
Author Notification:         15 March 2004
Camera ready paper:       5 April 2004
Workshop:                     15 May 2004

SCOPE

There is no doubt that learning will play a major role in developing 
intelligent visual
and cognitive systems as it has also been emphasized by the Calls for 
project
proposals on Cognitive systems both in Europe and United States. The goal of
this workshop is to promote information exchange and technical interaction
among researchers working on methods for visual learning, focusing on robust
and adaptable techniques, capable of operating in unconstrained 
environments.

Statistical methods have been carried over from the statistical pattern
recognition to computer vision and have successfully been used in many
applications. However, it is still to be determined how these methods can be
used and adapted for multi-modal, continuous, robust learning. Several 
issues
need closer investigation e.g., representations, types of learning 
(supervised,
unsupervised, reinforcement), relations between generative and 
discriminative
methods, etc.
TOPICS OF INTEREST include but are not limited to the following:
-   new theoretical approaches to statistical learning
-   relations between supervised, unsupervised, reinforcement learning
- learning of visual concepts
-   learning for recognition and categorization
-   continuous (life-long) learning
-   relations between generative and discriminative learning
-   multi-modal learning
-   generalization of learning across modalities, tasks
-   contextual visual learning
-   biologically motivated learning
-   applications of learning in computer vision

WORKSHOP CO-CHAIRS

Ales Leonardis,  University of Ljubljana, Slovenia
Horst Bischof, Graz University of Technology, Austria

PROGRAM COMMITTEE

Peter Auer, University of Leoben and Graz University of Technology, Austria
Bir Bhanu, University of California, USA
Horst Bischof, Graz University of Technology, Austria
Joachim Buhmann, ETH, Switzerland
Hilary Buxton, University of Sussex, UK
Terry Caelli, University of Alberta, Canada
Tim Cootes, University of Manchester, UK
Fernando De la Torre, CMU, USA
Bruce Draper, Colorado State University, USA
Hany Farid, Dartmouth, USA
Edwin Hancock, University of York, UK
Bernd Heisele, MIT, USA
David Hogg, University of Leeds, UK
Nebojsa Jojic, Microsoft, USA
Ales Leonardis, University of Ljubljana, Slovenia
Jiri Matas, Czech Technical University, Czech Republic
Lucas Paletta, Joanneum Research, Austria
Bernt Schiele, ETH, Switzerland
Anuj Srivastava, Florida State University, USA
Antonio Torralba, MIT, USA
Daphna Weinshall, The Hebrew University of Jerusalem, Israel
John Weng, Michigan State University, USA
CONTACT

Ales Leonardis                   Horst Bischof
alesl at fri.uni-lj.si              bischof at icg.tu-graz.ac.at

--- We apologise if you received multiple copies of this announcement ---


-- 
==============================================
Univ. Prof. Dr. Horst Bischof
Institute for Computer Graphics and Vision
TU Graz
Inffeldgasse 16 2. OG
A-8010 Graz, AUSTRIA

email:  bischof at icg.tu-graz.ac.at
web:    www.icg.tu-graz.ac.at

Tel.: +43-316-873-5014   Fax.: +43-316-873-5050
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