IAPR International Conference
on
Machine Learning and Data Mining in Pattern Recognition
MLDM´2003
Renaissance Hotel Leipzig / Germany, July 5-7, 2003
Co-chairs
Petra Perner
IBaI Leipzig / Germany
Azriel Rosenfeld
University of Maryland / USA
Program Committee
Agnar Aamodt NTNU / Norway
Horst Bunke University of Bern / Switzerland
Terri Caelli University of Alberta / Canada
Susan Craw The Robert Gordon University / UK
Dragan Gamberger Rudjer Boskovic Institute / Croatia
Lothar Gierl University of Rostock /Germany
Thomas S. Huang University of Illinois / USA
Atsushi Imiya Chiba University /Japan
Horace Ip City University / Hong Kong
Brian Lovell University of Queensland /Australia
Herbert Jahn Aero Space Center / Germany
Ryszard Michalski George Mason University / USA
Donato Malerba University of Bari / Italy
Sethuraman Panch Arizona State University / USA
Maria Petrou University of Surrey / UK
Gabriella Sanniti di Baja Istituto di Cibernetica / Italy
Fabio Roli University of Cagliari / Italy
Michele Sebag Ecole Polytechnique / France
Arnold Smeulders University of Amsterdam/ NL
Minerva Yeung Intel Corporation / USA
Ari Visa Tampere University / Finland
Sholom Weiss IBM Yorktown Heights / USA
Sponsors
International Association of Pattern Recognition (IAPR)
IAPR TC 17 Machine Learning and Data Mining
The Aim of the Conference
The aim of the conference is to bring together researchers from all over the
world who deal with machine learning and data mining in order to discuss the
recent status of the research and to direct further developments. Basic
research papers as well as application papers are welcome. All kinds of
applications are welcome but special preference will be given to multimedia
related applications, biomedical applications, and webmining. MLDM03
continues in a series of MLDM events that originally started out as
workshops. Paper submissions should be related but not limited to any of the
following topics:
- inductive learning including decision tree and rule induction learning
- conceptual learning and clustering
- case-based reasoning and learning
- similarity measures and learning of similarity
- association rules
- visualization and data mining
- video mining
- mining structural representations such as log files, text documents and
HTML documents - statistical learning and
neural net based learning
- classification and interpretation of images, text, video
- organisational learning and evolutional learning
- probabilistic information retrieval
- mining gene data bases and biological data bases
- mining images, temporal-spatial data, images from remote sensing
- mining text documents
- knowledge extraction from text, video, signals and images
Participants should submit an electronic version of their paper to the
e-mail address: ibaiperner@aol.com at the Institut für Bildverarbeitung und
angewandte Informatik, Arno-Nitzsche-Str. 45, 04277 Leipzig Germany. For the
latest news as well as for the program of the previous MLDM and the
publications within MLDM and IAPR TC 17 Machine Learning and Data Mining look
at http://www.ibai-research.de/ under the link MLDM2003 or under link TC 17.
The paper should have no more than 15 pages (double-spaced) and present
original work of the authors. Papers will be reviewed by the program
committee. Accepted papers will appear in proceedings published by Springer
Verlag. Extended versions of selected papers will be published in a special
issue of an international journal after the workshop.
Important Dates
Deadline for paper submission January, 10th 2003 Notification of
acceptance April, 1st 2003
Final Paper submission May 1st , 2003