Machine Learning and Data Mining in Pattern Recognition First In
The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems
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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 Maria Petrou (Eds.)
Machine Learning and Data Mining in Pattern Recognition First International Workshop, MLDM’99 Leipzig, Germany, September 16-18, 1999 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 Editors Petra Perner Institut f¨ur Bildverarbeitung und angewandte Informatik Arno-Nitzsche-Str. 45, D-04277 Leipzig, Germany E-mail: [email protected] Maria Petrou School of Electronic Engineering, Information Technology and Mathematics University of Surrey Guilford, GU2 5XH, UK E-mail: [email protected]
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Die Deutsche Bibliothek - CIP-Einheitsaufnahme Machine learning and data mining in pattern recognition : first international workshop ; proceedings / MLDM ’99, Leipzig, Germany, September 16 - 18, 1999. Petra Perner ; Maria Petrou (ed.). - Berlin ; Heidelberg ; New York ; Barcelona ; Hong Kong ; London ; Milan ; Paris ; Singapore ; Tokyo : Springer, 1999 (Lecture notes in computer science ; Vol. 1715 : Lecture notes in artificial intelligence) ISBN 3-540-66599-4
CR Subject Classification (1998): I.2, I.5, I.4 ISBN 3-540-66599-4 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 1999 Printed in Germany Typesetting: Camera-ready by author SPIN: 10705107 06/3142 – 5 4 3 2 1 0
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Preface The field of machine learning and data mining in connection with pattern recognition enjoys growing popularity and attracts many researchers. Automatic pattern recognition systems have proven successful in many applications. The wide use of these systems depends on their ability to adapt to changing environmental conditions and to deal with new objects. This requires learning capabilities on the parts of these systems. The exceptional attraction of learning in pattern recognition lies in the specific data themselves and the different stages at which they get processed in a pattern recognition system. This results a specific branch within the field of machine learning. At the workshop, were presented machine learning approaches for image pre-processing, image segmentation, recognition and interpretation. Machine learning systems were shown
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