This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,950grams, ISBN:0471529745.

N� de ref. del art�culo 8620075

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Detalles bibliogr�ficos

T�tulo

Pattern Recognition: Statistical, Structural and Neural Approaches

Editor

John Wiley & Sons

Fecha de publicaci�n

1992

Idioma

Ingl�s

ISBN 10

0471529745

ISBN 13

9780471529743

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

Fair

Cat�logos de vendedores

Engineering

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Sinopsis

Explores the heart of pattern recognition concepts, methods and applications using statistical, syntactic and neural approaches. Divided into four sections, it clearly demonstrates the similarities and differences among the three approaches. The second part deals with the statistical pattern recognition approach, starting with a simple example and finishing with unsupervised learning through clustering. Section three discusses the syntactic approach and explores such topics as the capabilities of string grammars and parsing; higher dimensional representations and graphical approaches. Part four presents an excellent overview of the emerging neural approach including an examination of pattern associations and feedforward nets. Along with examples, each chapter provides the reader with pertinent literature for a more in-depth study of specific topics.

Acerca del autor

Robert J. Schalkoff is the author of Pattern Recognition: Statistical, Structural and Neural Approaches, published by Wiley.

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Descripci�n de la librer�a

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