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Pattern Recognition : Statistical, Structural and Neural Approaches - Robert J. Schalkoff

Pattern Recognition

Statistical, Structural and Neural Approaches

Paperback Published: 21st June 1991
ISBN: 9780471529743
Number Of Pages: 384

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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.


Supervised Learning (Training) Using Parametric and NonparametricApproaches.

Linear Discriminant Functions and the Discrete and Binary FeatureCases.

Unsupervised Learning and Clustering.



Syntactic Recognition via Parsing and Other Grammars.

Graphical Approaches to SyntPR.

Learning via Grammatical Inference.


Introduction to Neural Networks.

Introduction to Neural Pattern Associators and MatrixApproaches.

Feedforward Networks and Training by Backpropagation.

Content Addressable Memory Approaches and Unsupervised Learning inNeurPR.



Permission Source Notes.


ISBN: 9780471529743
ISBN-10: 0471529745
Audience: Tertiary; University or College
Format: Paperback
Language: English
Number Of Pages: 384
Published: 21st June 1991
Country of Publication: US
Dimensions (cm): 24.3 x 19.55  x 2.37
Weight (kg): 0.86
Edition Number: 1

Earn 816 Qantas Points
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