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