Workshop Title: Online Pattern Recognition and Machine Learning Techniques for Computer-Vision Applications, Island of Madeira, Portugal, In conjunction with the VISAPP 2008 conference, 22-25 January, 2008 
Chairs: Bogdan Raducanu, Jordi Vitrià, Ales Leonardis
Scope:

In real life, visual learning is supposed to be a continuous process. Opposite to this, in machine vision, learning has been so far considered in a limited and isolated way. Most of the nowadays approaches, with very few exceptions, require the intervention of the human operator to collect, segment and store hand-picked data and train pattern classifiers with them. However, for real world scenarios, it is unlikely to know beforehand the number of total classes or the exact number of instances per class. There is a recent trend in pattern recognition represented by online learning approaches, which treat to continuously update the data representation when new information arrives. Starting with a minimal set, the initial knowledge is expanded, by incorporating incoming instances, some of them which have not been previously available or foreseen at the application creation stage. An interesting characteristic of this strategy is that the train and test phases take place simultaneously. Given the increasing interest on this subject, the current call for papers is intended to offer the possibility to discuss the most recent advances in the area.

Topics: 
Topics of interest include, but are not limited to the following: 
- feature extraction and representation 
- incremental/decremental learning strategies 
- online classification 
- unsupervised clustering 
- novelty detection 
- knowledge discovery 
- optimal data representation to manage large datasets 
- extraction and creation of semantic content from data 
- contextual representation and reasoning 
- developmental architectures 
- modelling of cognitive processes
 

Program Committee:

Kap Luk Chan, Nanyang Technological University, Singapore 
Antonio Torralba, MIT, USA 
Fernando de la Torre, CMU, USA 
Fatih Porikli, MERL, USA 
Daniel Gatica-Perez, IDIAP, Switzerland 
Artur Arsenio, Nokia Siemens, Portugal 
Tae-Kyun Kim, University of Cambridge, UK 
Petia Radeva, Computer Vision Center, Spain 
Horst Bischof, Graz University of Technology, Austria 
Justus H. Piater, Universite de Liege, Belgium 
Danijel Skocaj, University of Ljubliana, Slovenia 
Manuel Graña, University of The Basque Country, Spain 
Barbara Caputo, IDIAP, Switzerland 
Modesto Castrillón Santana, University of Las Palmas de Gran Canaria, Spain 
Shaogang Gong, Queen Mary, University of London, UK 
J. Salvador Sanchez, Universitat Jaume I, Spain
Important Dates:

Full Paper Submission: October 15, 2007 
Authors Notification: November 7, 2007 
Final Paper Submission and Registration: November 19, 2007

Submission:

Prospective authors are invited to submit papers in any of the topics listed above. All papers must be written in English, and the length should not exceed 10 pages (including figures and tables).  Instructions for preparing the manuscript (in Word and Latex formats) are available at the following web page (http://www.visapp.org/paper_templates.htm).
Papers (preferably in PDF format) should be submitted electronically via the web-based submission system at: http://www.visapp.org/paper_submission.htm.

 

Workshop Proceedings:

All accepted papers will be published in the workshop proceedings book (under an ISBN reference). A CD-ROM with the proceedings will also be available.. A selection of the best selected papers will be considered for improvement and publication in a special issue of Image and Vision Computing Journal.


Registration Information:
At least one author of an accepted paper must register for the workshop.

Organizing Committee:

Dr. Bogdan Raducanu:   bogdan@cvc.uab.es    (Computer Vision Center, SPAIN) 
Prof. Jordi Vitrià:              jordi@cvc.uab.es                   (Computer Vision Center, SPAIN) 
Prof. Ales Leonardis:     ales.leonardis@fri.uni-lj.si   (Univ.of Ljubliana, SLOVENIA)