Pattern Recognition
Statistical, Structural and Neural Approaches
Published on 2. October 1991
Book
Paperback/Softback
384 pages
978-0-471-55238-3 (ISBN)
Description
An introduction to the concepts, methods and applications of pattern recognition, which demonstrates the similarities and differences among various approaches. Each chapter provides the reader with examples and material for a more in-depth study of specific topics.
More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Illustrations
Ill.
Dimensions
Height: 229 mm
Width: 152 mm
Weight
482 gr
ISBN-13
978-0-471-55238-3 (9780471552383)
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Schweitzer Classification
Content
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.