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Computer-Oriented Approaches to Pattern Recognition

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Author(s): William S. Meisel (Eds.)
Series: Mathematics in Science and Engineering 83
Publisher: Elsevier, Academic Press
Year: 1972

Language: English
Pages: iii-xii, 1-250

Content:
Edited by
Page iii

Copyright page
Page iv

Dedication
Page v

Preface
Pages xi-xii

Chapter I Basic Concepts and Methods in Mathematical Pattern Recognition
Pages 1-37

Chapter II The Statistical Formulation and Parametric Methods
Pages 38-46

Chapter III Introduction to Optimization Techniques
Pages 47-54

Chapter IV Linear Discriminant Functions and Extensions
Pages 55-84

Chapter V Indirect Approximation of Probability Densities
Pages 85-97

Chapter VI Direct Construction of Probability Densities: Potential Functions (Parzen Estimators)
Pages 98-119

Chapter VII Piecewise Linear Discriminant Functions
Pages 120-137

Chapter VIII Cluster Analysis and Unsupervised Learning
Pages 138-161

Chapter IX Feature Selection
Pages 162-213

Chapter X Special Topics
Pages 214-227

Appendix A A Set of Orthonormal Polynomials
Pages 228-229

Appendix B Efficient Representation and Approximation of Multivariate Functions
Pages 230-246

Index
Pages 247-250