[Comp-neuro] Deadline Reminder: Special Session on "PATTERN RECOGNITION IN GRAPHICAL DOMAINS" - KES2007

Franco Scarselli franco at dii.unisi.it
Thu Mar 1 17:24:19 CET 2007

** Our apologies if you receive multiple copies of this announcement **




            11th International Conference on

Knowledge-Based and Intelligent Information & Engineering Systems

                  Vietri sul Mare, Italy

              12, 13 and 14 September 2007

Call for papers

Traditional machine learning applications usually cope with graphs by a

preprocessing procedure that transforms structured data to simpler

representations. This approach relies on what is called the "feature

extraction" process, but it turns out to be quite unnatural for several

situations where data are intrinsically organized as graphs, i.e.

relationships exist among atomic sub-entities. Unfortunately, valuable

information may be lost during the preprocessing and, as a consequence,

classical methods may suffer from poor performance and generalization.

Therefore, recursive or nested representations, as opposed to "flat"

attribute-value data organizations, seem to be more adequate for many

relevant problems arising from chemistry, bioinformatics, and the World

Wide Web.

Recent studies on statistical pattern recognition and neural networks show

possible directions to exploit structural information in problems which

are inherently of sub-symbolic nature.

This special session is intended to propose a critical re-thinking of the

classic learning approaches and to investigate on possible new

methodologies and applications of pattern recognition in graphical


The scope of this session is, but not limited to:

..        Neural Network Models for Graphs

..        Support Vector Machines and Kernel Methods for Graphs

..        Probabilistic Models for Graphs

..        Statistical Relational Learning

..        Pattern Recognition Applications Involving Graphical Data

Submission Instructions

Authors are encouraged to submit high quality, original work that has

neither appeared in, nor is under consideration by, other

conferences/journals. All submissions will be refereed by experts in the

field based on originality, significance, and clarity. The conference

preceedings will be published by Springer-Verlag in Lecture Notes in AI as

part of the LNCS/LNAI series. When formatting papers - that must be no

more than eight (8) pages long, including figures and bibliography -

please refer to the Springer-Verlag site and strictly follow the

instructions for LNCS authors



Authors of selected manuscripts will be also invited to submit an

extended version of their paper for publication in a special issue

of the Neurocomputing Journal, published by Elsevier Science


Important Dates:

March 10, 2007: Deadline for paper submission

April 10, 2007: Notification of acceptance

May 1, 2007: Camera-Ready paper

Organized by:


..       Monica Bianchini, University of Siena

..       Franco Scarselli, University of Siena

Program Committee

..       Markus Hagenbuchner, University of Wollongong, Australia

..       Barbara Hammer, Clausthal University of Technology, Germany

..       Simone Marinai, University of Florence, Italy

..       Lionel Prevost, Université Pierre et Marie Curie, France

..       Jan Ramon, K. U. Leuven, Belgium

..       Friedhelm Schwenker, University of Ulm, Germany

..       Alessandro Sperduti, University of Padua, Italy

..       Peter Tino, University of Birmingham, United Kingdom

More information are available at the special session site

http://www.dii.unisi.it/~monica/KES2007/CFP.html <http://www.dii.unisi.it/%7Emonica/KES2007/CFP.html>

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