product iamge

Computer-Oriented Approaches to Pattern Recognition

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Download
Search on Amazon

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Author(s): William S. Meisel (Eds.)
Series: Mathematics in Science and Engineering 83
Publisher: 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