Methodologies of Pattern Recognition

Methodologies of Pattern Recognition

1st Edition - January 1, 1969

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  • Editor: Satosi Watanabe
  • eBook ISBN: 9781483268989

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Description

Methodologies of Pattern Recognition is a collection of papers that deals with the two approaches to pattern recognition (geometrical and structural), the Robbins-Monro procedures, and the implications of interactive graphic computers for pattern recognition methodology. Some papers describe non-supervised learning in statistical pattern recognition, parallel computation in pattern recognition, and statistical analysis as a tool to make patterns emerge from data. One paper points out the importance of cluster processing in visual perception in which proximate points of similar brightness values form clusters. At higher levels of mental activity humans are efficient in clumping complex items into clusters. Another paper suggests a recognition method which combines versatility and an efficient noise-proofness in dealing with the two main problems in the field of recognition. These difficulties are the presence of a large variety of observed signals and the presence of interference. One paper reports on a possible feature selection for pattern recognition systems employing the minimization of population entropy. Electronic engineers, physicists, physiologists, psychologists, logicians, mathematicians, and philosophers will find great rewards in reading the above collection.

Table of Contents


  • Contributors

    Preface

    Remarks on Two Problems Connected with Pattern Recognition

    Research on Pattern Recognition in France

    Implications of Interactive Graphic Computers for Pattern Recognition Methodology

    Statistical Analysis as a Tool to Make Patterns Emerge from Data

    Pattern Recognition, The Challenge, Are We Meeting It?

    Nonsupervised Learning in Statistical Pattern Recognition

    Learning in Pattern Recognition

    Parallel Computation in Pattern Recognition

    Descriptive Pattern-Analysis Techniques: Potentialities and Problems

    On Sequential Pattern Recognition Systems

    Introduction to Biological and Mechanical Pattern Recognition

    On the Automatic Classification of Fingerprints

    Network Properties for Pattern Recognition

    Goal-Directed Pattern Recognition

    Cluster Formation at Various Perceptual Levels

    Recognition, Machine 'Recognition'and Statistical Approaches

    Pattern Recognition Applied to the Counting of Nerve Fiber Cross-Sections and Water Droplets

    Recognition by Imitating the Process of Pattern Generation

    Designing Pattern Categorizers with Extremal Paradigm Information

    The Importance of Pattern Recognition for General Purpose Adjustment Systems

    Recognition and Action

    Some Views on Pattern-Recognition Methodology

    The Evaluation of the Statistical Classifier

    Adaptive System of Pattern Recognition

    Nonparametric Learning and Pattern Recognition Using a Finite Number of States

    Feature Selection for Pattern Recognition Systems

    A Contribution to the Informational Analysis of Pattern

    Pattern Recognition as an Inductive Process

    Invariant Recognition of Geometric Shapes

    Comments

    Name Index

    Subject Index

Product details

  • No. of pages: 590
  • Language: English
  • Copyright: © Academic Press 1969
  • Published: January 1, 1969
  • Imprint: Academic Press
  • eBook ISBN: 9781483268989

About the Editor

Satosi Watanabe

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