Introduction To Pattern Recognition : Statistical, Structural, Neural And Fuzzy Logic Approaches - Menahem Friedman

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Introduction To Pattern Recognition

Statistical, Structural, Neural And Fuzzy Logic Approaches

By: Menahem Friedman, Abraham Kandel

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Hardcover | 2 March 1999

At a Glance

Hardcover
344 Pages

Dimensions(cm)
26.04 x 18.42 x 2.54

Hardcover

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This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only prerequisites for using this book are a one-semester course in discrete mathematics and a knowledge of the basic preliminaries of calculus, linear algebra and probability theory.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Vision Pattern Recognition Image Processing Databases Data Capture & Analysis Mathematics Booktopia Publisher Services World Scientific Publishing

Preface
Introduction	p. 1
Decision Functions	p. 19
Classification by Distance Functions and Clustering	p. 55
Classification Using Statistical Approach	p. 99
Feature Selection	p. 141
Fuzzy Classification and Pattern Recognition	p. 167
Syntactic Pattern Recognition	p. 227
Neural Nets and Pattern Classification	p. 255
Appendix	p. 311
Index	p. 327
Table of Contents provided by Blackwell. All Rights Reserved.

Introduction To Pattern Recognition

Statistical, Structural, Neural And Fuzzy Logic Approaches

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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