Items related to Pattern Recognition From Classical to Modern Approaches
Synopsis
Presents recent developments in the classical and modern hybrid methodologies currently being applied in pattern recognition. The 21 chapters deal with decision theoretic classification using the statistical approach, neural networks, the fuzzy set approach, the use of genetic algorithms, and soft computing. Topics include Bayesian approaches for unsupervised classification, networks of spiking neurons in data mining, adaptive segmentation techniques for hyperspectral imagery, and writing speed and writing sequence invariant on-line handwriting recognition. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Review
Demonstrates the significance of this evolution relevance of different approaches with characteristic features and the formulation of various modern theorem. -- Zentralblatt MATH
This is a timely, comprehensive, and authoritative volume belonging to the mainstream of pattern recognition. -- Mathematical Reviews, 2003
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Pattern Recognition From Classical to Modern Approaches
Published by
World Scientific Pub Co Inc, 2002
ISBN 10: 9810246846
ISBN 13: 9789810246846
Used
Hardcover
Seller: Bookmonger.Ltd, HILLSIDE, NJ, U.S.A.
Seller rating 4 out of 5 stars
Hardcover. Condition: Fine. Seller Inventory # mon0000429768
Quantity: 1 available
Stock Image
Pattern Recognition From Classical to Modern Approaches
Published by
World Scientific Pub Co Inc, 2002
ISBN 10: 9810246846
ISBN 13: 9789810246846
Used
Hardcover
Seller: Wonder Book, Frederick, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Very Good condition. Good dust jacket. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. Seller Inventory # P13C-02186
Quantity: 1 available