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Machine Learning and Data Mining in Pattern Recognition

Second International Workshop, MLDM 2001 Leipzig, Germany, July 25–27, 2001 Proceedings

  • Petra Perner
Conference proceedings MLDM 2001

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2123)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2123)

Table of contents

  1. Front Matter
    Pages I-XI
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  2. Invited Paper

    1. Technology of Text Mining
      Ari Visa
      Pages 1-11
    2. Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining
      Ulrich Sack, Manja Kamprad
      Pages 12-22

  3. Case-Based Reasoning and Associative Memory

    1. Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications
      Rainer Schmidt, Lothar Gierl
      Pages 23-34
    2. Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin?
      Petra Perner
      Pages 35-51
    3. FAM-Based Fuzzy Inference for Detecting Shot Transitions
      Seok-Woo Jang, Gye-Young Kim, Hyung-Il Choi
      Pages 52-61

  4. Rule Induction and Grammars

    1. Rule-Based Ensemble Solutions for Regression
      Nitin Indurkhya, Sholom M. Weiss
      Pages 62-72
    2. Learning XML Grammars
      Henning Fernau
      Pages 73-87
    3. First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps
      D. Malerba, F. Esposito, A. Lanza, F. A. Lisi
      Pages 88-101

  5. Clustering and Conceptual Clustering

    1. Concepts Learning with Fuzzy Clustering and Relevance Feedback
      Bir Bhanu, Anlei Dong
      Pages 102-116
    2. LC: A Conceptual Clustering Algorithm
      José Fco. Martinez-Trinidad, Guillermo Sánchez-Diaz
      Pages 117-127

  6. Data Mining on Signal, Images, Text and Temporal-Spatial Data

    1. Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data
      Bon K. Sy, Arjun K. Gupta
      Pages 128-140
    2. A Hybrid Tool for Data Mining in Picture Archiving System
      Petra Perner, Tatjana Belikova
      Pages 141-156
    3. Feature Selection for a Real-World Learning Task
      D. Kollmar, D.H. Hellmann
      Pages 157-172
    4. Automatic Identification of Diatoms Using Decision Forests
      Stefan Fischer, Horst Bunke
      Pages 173-183
    5. Validation of Text Clustering Based on Document Contents
      Jarmo Toivonen, Ari Visa, Tomi Vesanen, Barbro Back, Hannu Vanharanta
      Pages 184-195

  7. Nonlinear Function Learning and Neural Net Based Learning

    1. Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution
      Mark P. Wachowiak, Renata Smolíková, Mariofanna G. Milanova, Adel S. Elmaghraby
      Pages 196-205
    2. How to Automate Neural Net Based Learning
      Roland Linder, Siegfried J. Pöppl
      Pages 206-216
    3. Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks
      Adam Krzyżak
      Pages 217-225

  8. Learning for Handwriting Recognition

    1. Local Learning Framework for Recognition of Lowercase Handwritten Characters
      Jian-xiong Dong, Adam Krzyżak, C. Y. Suen
      Pages 226-238
    2. Mirror Image Learning for Handwritten Numeral Recognition
      Meng Shi, Tetsushi Wakabayashi, Wataru Ohyama, Fumitaka Kimura
      Pages 239-248

  9. Statistical and Evolutionary Learning

    1. Face Detection by Aggregated Bayesian Network Classifiers
      Thang V. Pham, Marcel Worring, Arnold W. M. Smeulders
      Pages 249-262
    2. Towards Self-Exploring Discriminating Features
      Ying Wu, Thomas S. Huang
      Pages 263-277
    3. PCA-Based Model Selection and Fitting for Linear Manifolds
      Atsushi Imiya, Hisashi Ootani
      Pages 278-292
    4. Statistics of Flow Vectors and Its Application to the Voting Method for the Detection of Flow Fields
      Atsushi Imiya, Keisuke Iwawaki
      Pages 293-306
    5. On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples
      Krzysztof Krawiec
      Pages 307-321
    6. Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification
      Vadim Mottl, Sergey Dvoenko, Oleg Seredin, Casimir Kulikowski, Ilya Muchnik
      Pages 322-336

  10. Content-Based Image Retrieval

    1. Adaptive Query Shifting for Content-Based Image Retrieval
      Giorgio Giacinto, Fabio Roli, Giorgio Fumera
      Pages 337-346
    2. Content-Based Similarity Assessment in Multi-segmented Medical Image Data Bases
      George Potamias
      Pages 347-361
  11. Back Matter
    Pages 363-363
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About these proceedings

Introduction

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 invited papers were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on case-based reasoning and associative memory; rule induction and grammars; clustering and conceptual clustering; data mining on signals, images, and spatio-temporal data; nonlinear function learning and neural net based learning; learning for handwriting recognition; statistical and evolutionary learning; and content-based image retrieval.

Keywords

Algorithmic Learning Classification Clustering Data Mining Handwriting Recognition Information Retrieval Machine Learning Object Recognition Statistical Learning Text Mining case-based reasoning learning pattern recognition

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.Institute of Computer Vision and Applied Computer SciencesLeipzigGermany

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-44596-X
  • Copyright Information Springer-Verlag Berlin Heidelberg 2001
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-42359-1
  • Online ISBN 978-3-540-44596-8
  • Series Print ISSN 0302-9743
  • Buy this book on publisher's site