Connectionists: Special Session on "Pattern Recognition in Graphical Domains" at KES2007

[franco@dii.unisi.it]

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


  Special Session on "PATTERN RECOGNITION IN GRAPHICAL DOMAINS"

              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
domains.

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
(http://www.springer.de/comp/lncs/authors.html).

SPECIAL ISSUE ON NEUROCOMPUTING
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
(http://www.elsevier.nl/locate/neucom).


Important Dates:

March 10, 2007: Deadline for paper submission
April 10, 2007: Notification of acceptance
May 1, 2007: Camera-Ready paper


Organized by:

Chair
.        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

More information are available at the special session site
http://www.dii.unisi.it/~monica/KES2007/CFP.html