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Pattern Recognition Theory and Applications

Proceedings of the NATO Advanced Study Institute held at St. Anne’s College, Oxford, March 29–April 10, 1981

  • Conference proceedings
  • © 1982

Overview

Editors:
  1. Josef Kittler

    1. Science and Engineering Research Council, Rutherford and Appleton Laboratories, Chilton, Didcot, England
      Oxford, UK

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  2. King Sun Fu

    1. Purdue University, West Lafayette, USA

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  3. Louis-François Pau

    1. Ecole Nationale Superieure des Telecommunications, Paris, France

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Part of the book series: Nato Science Series C: (ASIC, volume 81)

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Table of contents (33 papers)

  1. Front Matter

    Pages i-ix
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  2. Pattern Recognition Methodology

    1. Front Matter

      Pages 1-1
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    2. Advances in Nonparametric Techniques of Statistical Pattern Classification

      • Pierre A. Devijver
      Pages 3-18

    3. Statistical Pattern Recognition of Binary Variables

      • D. J. Hand
      Pages 19-33

    4. On the Haar Condition in Algorithms for the Optimal Solution of Linear Inequalities

      • Akihiko Miyake
      Pages 35-42

    5. Pattern Class Representation Related to the Karhunen-Loeve Expansion

      • Th. Van der Pyl
      Pages 43-52

    6. Sample Size Sensitive Entropy

      • M. Terrenoire, D. Tounissoux
      Pages 53-62

    7. An Optimal Clustering Method based on the Rasson’s Criterion and Resulting from a New Approach

      • J. P. Rasson, A. Hardy, L. Szary, P. Schindler
      Pages 63-71

    8. Computational Geometric Problems in Pattern Recognition

      • Godfried T. Toussaint
      Pages 73-91

    9. A Coding Approach to Pattern Recognition

      • L. Norton-Wayne
      Pages 93-102

    10. Fuzzy Set Theoretic Approach: A Tool for Speech and Image Recognition

      • Sankar K. Pal
      Pages 103-117

    11. Syntactic Methods in Pattern Recognition

      • Michael G. Thomason
      Pages 119-137

    12. Hybrid Approaches to Pattern Recognition

      • K. S. Fu
      Pages 139-155

    13. Pattern Recognition of Relational Structures

      • Andrew K. C. Wong, Lev Goldfarb
      Pages 157-175

    14. Hybrid Pattern Recognition: A Synthesis of the Numerical and Qualitative Approaches

      • Morton Nadler
      Pages 177-187

    15. Fusion of Multisensor Data in Pattern Recognition

      • L. F. Pau
      Pages 189-201

  3. Image Understanding and Interpretation

    1. Front Matter

      Pages 203-203
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    2. Artificial Intelligence Approaches to Image Understanding

      • Michael Brady
      Pages 205-264

    3. Summary of the Darpa Image Understanding Research Program

      • Larry E. Druffel
      Pages 265-281

    4. Three-Dimensional Object Representation

      • Ruzena Bajcsy
      Pages 283-295
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Keywords

About this book

This book is the outcome of the successful NATO Advanced Study Institute on Pattern Recognition Theory and Applications, held at St. Anne's College, Oxford, in April 1981., The aim of the meeting was to review the recent advances in the theory of pattern recognition and to assess its current and future practical potential. The theme of the Institute - the decision making aspects of pattern recognition with the emphasis on the novel hybrid approaches - and its scope - a high level tutorial coverage of pattern recognition methodologies counterpointed with contrib­ uted papers on advanced theoretical topics and applications - are faithfully reflected by the volume. The material is divided into five sections: 1. Methodology 2. Image Understanding and Interpretation 3. Medical Applications 4. Speech Processing and Other Applications 5. Panel Discussions. The first section covers a broad spectrum of pattern recognition methodologies, including geometric, statistical, fuzzy set, syntactic, graph-theoretic and hybrid approaches. Its cove,r­ age of hybrid methods places the volume in a unique position among existing books on pattern recognition. The second section provides an extensive treatment of the topical problem of image understanding from both the artificial intelligence and pattern recognition points of view. The two application sections demonstrate the usefulness of the novel methodologies in traditional pattern 'recognition application areas. They address the problems of hardware/software implementation and of algorithm robustness, flexibility and general reliability. The final section reports on a panel discussion held during the Institute.

Editors and Affiliations

  • Science and Engineering Research Council, Rutherford and Appleton Laboratories, Chilton, Didcot, England

    Josef Kittler

  • Oxford, UK

    Josef Kittler

  • Purdue University, West Lafayette, USA

    King Sun Fu

  • Ecole Nationale Superieure des Telecommunications, Paris, France

    Louis-François Pau

Bibliographic Information

  • Book Title: Pattern Recognition Theory and Applications

  • Book Subtitle: Proceedings of the NATO Advanced Study Institute held at St. Anne’s College, Oxford, March 29–April 10, 1981

  • Editors: Josef Kittler, King Sun Fu, Louis-François Pau

  • Series Title: Nato Science Series C:

  • DOI: https://doi.org/10.1007/978-94-009-7772-3

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: D. Reidel Publishing Company, Dordrecht, Holland 1982

  • Hardcover ISBN: 978-90-277-1379-7Published: 31 January 1982

  • Softcover ISBN: 978-94-009-7774-7Published: 21 December 2011

  • eBook ISBN: 978-94-009-7772-3Published: 06 December 2012

  • Series ISSN: 1389-2185

  • Edition Number: 1

  • Number of Pages: X, 576

  • Topics: Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Coding and Information Theory

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