Manuel.grana en 18:15 31 ene 2008

2008-01-31T18:15:39Z

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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

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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/

Numero-especial-bogdan - Historial de revisiones

Manuel.grana en 18:15 31 ene 2008