Zustand: Gut | Seiten: 344 | Sprache: Englisch | Produktart: B�cher | 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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Bibliographic Details

Title

Introduction to Pattern Recognition: Statistical, Structural, Neural and Fuzzy Logic Approaches

Publisher

WORLD SCIENTIFIC PUB CO INC

Publication Date

1999

Language

English

ISBN 10

9810233124

ISBN 13

9789810233129

Binding

Hardcover

Condition

Gut

Seller catalogs

B�cher

About this title

Synopsis

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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