Join Books.org — it's free

General & Miscellaneous Computing, Cognitive Psychology
Pattern Recognition : Statistical, Structural, and Neural Approaches by Robert J. Schalkoff β€” book cover

Pattern Recognition : Statistical, Structural, and Neural Approaches

by Robert J. Schalkoff
Available on Bookshop Write a review

Books.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.

Log in to track your reading progress.

Overview

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.

Reviews

There are no reviews yet. Log in to write one.

Editorials

Booknews

A comprehensive text conveying the "why" as well as the "how" of statistical, syntactic, and neural approaches to pattern recognition. For beginning graduate/advanced undergraduate students as well as practicing engineers. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Book Details

Published
November 18, 1991
Publisher
John Wiley & Sons
Pages
384
Format
Paperback
ISBN
9780471529743

More by Robert J. Schalkoff

Similar books