Pattern Recognition Statistical, Structural and Neural Approaches

Name: Pattern Recognition Statistical, Structural and Neural Approaches
Price: 7.47 USD
Availability: InStock
ISBN: 9780471529743

ISBN-10: 0471529745

ISBN-13: 9780471529743

Edition: 1992

Authors: Robert J. Schalkoff

List price: $282.95

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Description:

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…

Book details

List price: $282.95
Copyright year: 1992
Publisher: John Wiley & Sons, Incorporated
Publication date: 9/3/1991
Binding: Paperback
Pages: 384
Size: 7.70" wide x 9.57" long x 0.93" tall
Weight: 1.848
Language: English



Statistical Pattern Recognition (StatPR)


Supervised Learning (Training) Using Parametric and Nonparametric Approaches


Linear Discriminant Functions and the Discrete and Binary Feature Cases


Unsupervised Learning and Clustering


Syntactic Pattern Recognition (SyntPR)


Overview


Syntactic Recognition via Parsing and Other Grammars


Graphical Approaches to SyntPR


Learning via Grammatical Inference


Neural Pattern Recognition (NeurPR)


Introduction to Neural Networks


Introduction to Neural Pattern Associators and Matrix Approaches


Feedforward Networks and Training by Backpropagation


Content Addressable Memory Approaches and Unsupervised Learning in NeurPR


Appendices


References


Permission Source Notes


Index