Machine Learning and Data Mining in Pattern Recognition Second I
This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM 2001, held in Leipzig, Germany in July 2001. The 26 revised full papers presented together with two invite
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Lecture Notes in Computer Science Edited by G. Goos, J. Hartmanis and J. van Leeuwen
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Berlin Heidelberg New York Barcelona Hong Kong London Milan Paris Singapore Tokyo
Petra Perner (Ed.)
Machine Learning and Data Mining in Pattern Recognition Second International Workshop, MLDM 2001 Leipzig, Germany, July 25-27, 2001 Proceedings
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Series Editors Jaime G. Carbonell, Carnegie Mellon University, Pittsburgh, PA, USA J¨org Siekmann, University of Saarland, Saarbr¨ucken, Germany Volume Editor Petra Perner Institute of Computer Vision and Applied Computer Sciences Arno-Nitzsche-Str. 45, 04277 Leipzig, Germany E-mail: [email protected]
Cataloging-in-Publication Data applied for Die Deutsche Bibliothek - CIP-Einheitsaufnahme Machine learning and data mining in pattern recognition : second international workshop ; proceedings / MLDM 2001, Leipzig, Germany, July 25 - 27, 2001. Petra Perner (ed.). - Berlin ; Heidelberg ; New York ; Barcelona ; Hong Kong ; London ; Milan ; Paris ; Singapore ; Tokyo : Springer, 2001 (Lecture notes in computer science ; 2123 : Lecture notes in artificial intelligence) ISBN 3-540-42359-1
CR Subject Classification (1998): I.2, I.5, I.4, F.4.1, H.3 ISBN 3-540-42359-1 Springer-Verlag Berlin Heidelberg New York This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag. Violations are liable for prosecution under the German Copyright Law. Springer-Verlag Berlin Heidelberg New York a member of BertelsmannSpringer Science+Business Media GmbH http://www.springer.de © Springer-Verlag Berlin Heidelberg 2001 Printed in Germany Typesetting: Camera-ready by author, data conversion by Steingräber Satztechnik GmbH, Heidelberg Printed on acid-free paper SPIN: 10839922 06/3142 543210
Preface
The papers published in this book were presented at the second workshop on Machine Learning and Data Mining in Pattern Recognition MLDM. Those of you familiar with the first workshop will notice that the ideas related to this topic are spreading to many researchers. We received several excellent papers on subjects ranging from basic research to application oriented research. The subjects are Case-Based Reasoning, Rule Induction, Grammars, Clustering, Data Mining on Multimedia Data, Content-Based Image Retrieval, Statistical and Evolutionary Learning, Neural Networks, and Learning for Handwriting Recognition. The whole spectrum of topics in MLDM was represented at the workshop with emphasis on images, text, and signals, and temporal spatial data. We also took a step in the direction of our decision made at the last TC3 Machine Learning meeting in Ba
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