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
 
 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 Univ 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@fri.uni-lj.si              bischof@icg.tu-graz.ac.a