CALL FOR PAPERS

EMMCVPR - 2001

Third International Workshop on Energy Minimization Methods
in Computer Vision and Pattern Recognition

To be held in INRIA Sophia-Antipolis, France, September 3 - 5, 2001

Sponsored (aproval pending) by the International Association for
Pattern Recognition - IAPR


Minimization problems and optimization methods permeate computer vision
(CV), pattern recognition (PR), and many other fields of machine
intelligence. This is because many approaches to CV&PR involve
optimization tasks, and, at a more basic level, several problems can be
cast as the minimization of some basic quantity (often called an energy).

Instances of (energy) minimization problems arise in Bayesian decision
making, Markov random fields, relaxation labeling, neural networks,
variational formulations, support vector machines, regularization, to
variational formulations, support vector machines, regularization, to
mention only a few (not necessarily mutually exclusive) areas/frameworks
of CV&PR, with roots in disciplines such as statistics, (statistical)
physics, and psychophysics.

The aim of this workshop, which is the third of a series, is to bring
together people with research interests in this interdisciplinary topic.
Although the subject is traditionally well represented in major
international conferences on CV&PR, this workshop provides a forum where
researchers can report their recent work and engage in more informal
discussions. As with the previous editions (1997 and 1999), the
proceedings will be published by Springer Verlag in the Lecture Notes on
Computer Science (LNCS) series. The submission instructions can be found
in the web page of the workshop at http://red.lx.it.pt/~emmcvpr

The scientific program of EMMCVPR-2001 will include the presentation of
invited talks and contributed research papers. The workshop, which is
sponsored (approval is pending) by the International Association for
Pattern Recognition (IAPR), will be organized by the Sophia-Antipolis
research unit of INRIA (Institut National de Recherche en Informatique et
en Automatique), in France.  Sophia-Antipolis is located on the French
Riviera (CŁte d'Azur), near Nice, Antibes, and Cannes.

A list of relevant topics includes (but is not restricted to):

Markov random fields
Probabilistic networks / graphical models
Variational formulations
Deformable models
Graph matching
Statistical pattern recognition
Supervised learning
Unsupervised learning
VC-theory and support vector machines
Information theoretic methods
Model Selection
Computational neurobiology
Visual perception and psychophysics
Neural networks for classification and regression
Markov-Chain Monte Carlo methods
Relaxation labeling
Variational and mean-field methods
Self-organizing networks
Evolutionary / genetic approaches
Applications


Confirmed invited speakers

Donald Geman, Department of Mathematics & Statistics, University of
              Massachusetts, USA,
              and Ecole Polytechnique, Palaiseau, France.
David Mumford, Division of Applied Mathematics, Brown University, USA.


Organizing Committee

  Co-chairs:
     Josiane Zerubia,  INRIA Sophia Antipolis, France
                       (Josiane.Zerubia@sophia.inria.fr)
     Anil K. Jain,     Michigan State University, USA  (jain@cse.msu.edu)
     Mario Figueiredo, Instituto Superior Tecnico, Portugal (mtf@lx.it.pt)

  Program committee:
     Yali Amit, University of Chicago, USA
     Joachim Buhmann, University of Bonn, Germany
     Roland Chin, Hong Kong Univ. of Science and Technology
     Byron Dom, IBM's Almaden Research Center, USA
     M. P. Dubuisson-Jolly, Siemens Corp. Research, USA
     Davi Geiger, New York University, USA
     Christine Graffigne, Universite Rene Descartes, France
     Edwin Hancock, University of York, UK
     Tin Ho, Bell Laboratories, USA
     Kanti Mardia, University of Leeds, UK
     Marcello Pelillo, University of Venice, Italy
     Eugene Pechersky, Institute of Information Transmission Problems, Russia
     Anand Rangarajan, Yale University, USA
     Kaleem Siddiqi, McGill University, Canada
     Richard Szeliski, Microsoft Research, USA
     Alan Yuille, Smith-Kettlewell Eye Research Inst., USA
     Ramin Zabih, Cornell University, USA
     Song-Chun Zhu, Ohio State University, USA


Important Dates:
  Paper submission deadline:  February 3, 2001
  Notification of acceptance: April 30, 2001
  Camera-ready paper due:   May 31, 2001

Web page:
  http://red.lx.it.pt/~emmcvpr