Numero-especial-bogdan

Dear colleagues,

It's my pleasure to inform you that the Special Issue of Image and Vision Computing Journal on "Online Pattern Recognition and Machine Learning" has finally been approved. I would like to ask you the favor to help me in distribute the following CFP (for convenience, I attached both text and PDF versions).

I would like to use this opportunity to thank you again for the support offered in organizing the OPRMLT Special Session.

On behalf of the steering committee, best regards,

Bogdan Raducanu

======================================================

Image and Vision Computing Journal - SPECIAL ISSUE on

Online Pattern Recognition and Machine Learning Techniques for Computer-Vision: Theory and Applications

Guest editors: Bogdan Raducanu, Jordi Vitrià and Ales Leonardis

AIM & 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 aim of this special issue is to be a landmark event in the development of online learning techniques and their applications with the hope that will capture the interest of a wider audience and will attract even more researchers.

TOPICS COVERED 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

SUBMISSIONS Manuscripts should be prepared according to the instructions of the “Guide for Authors” section of the journal found online at: http://www.elsevier.com/locate/imavis and the submission should be made online at the journal website.

When making a submission authors should select “OPRMLT Special Issue” on the Article Type dropdown list in the first of the steps in the submission sequence.

Submission of a manuscript implies that it is the authors’ original unpublished work and is not being submitted for possible publication elsewhere.

Manuscripts will be assigned to international reviewers and the review processes will be managed by the Guest Editors working with the Editor-in-Chief, Professor K.D. Baker. For any clarification please contact Dr. Bogdan Raducanu, Prof. Jordi Vitrià or Prof. Ales Leonardis at the addresses below.

IMPORTANT DATES

    * Paper Submission deadline: 31 August 2008
    * Approximate Decision Notification date: 30 November 2008
    * Revised Paper Submission (if applicable): January, 2009
    * Approximate Final Decision Notification: February, 2009
    Tentative publication date: June 2009.

GUEST EDITORS Dr. Bogdan Raducanu, Prof. Jordi Vitrià Computer Vision Center Edifici “O” – Campus UAB 08193 Bellaterra (Barcelona) SPAIN Tel.: +34.93.581.1828 Fax: +34.93.581.1670 E-mail: {bogdan,jordi}@cvc.uab.es URL: http://www.cvc.uab.es/~bogdan, http://www.cvc.uab.es/~jordi

Prof. Ales Leonardis Visual Cognitive Systems Laboratory Faculty of Computer and Information Science University of Ljubljana Tržaška 25 SI-1001 Ljubljana SLOVENIA Tel: +386 (1) 4768 868 Fax: +386 (1) 4264 647 E-mail: ales.leonardis@fri.uni-lj.si URL: http://vicos.fri.uni-lj.si/alesl/