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Pattern Classification by David G. Stork, Peter E. Hart, Richard O. Duda (2000, Hardcover, Subsequent Edition) 
Pattern Classification by David G. Stork, Peter E. Hart, Richard O. Duda (2000, Hardcover, Subsequent Edition)

 
Pattern Classification by David G. Stork, Peter E. Hart, Richard O. Duda (2000, Hardcover, Subsequent Edition)

Publisher: Wiley-Interscience
Publication Date: 2000-11-09
Language: English
Format: Hardcover
ISBN-10: 0471056693
ISBN-13: 9780471056690
Product ID: EPID1015208
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Details
Publication Date:2000-11-09
Edition Description:Subsequent

Size
Length:654 pages
Height:10.0 in
Width:7.0 in
Thickness:1.2 in
Weight:44.0 oz

Publisher's Note
Pattern recognition is the construction of algorithms to create a decoding so that discriminations can be made by a computer. While the best-selling first edition of this book provided the basic theory underlying pattern recognition by computers, this new edition presents a systematic account of the major topics in pattern recognition today, reflecting the growth of neural networks research in artificial intelligence and its influence on pattern recognition.

The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.

Industry Reviews
"...provides information needed to choose the most appropriate of the many available technique for a given class of problems." (SciTech Book News, Vol. 25, No. 2, June 2001)
<p>
"I do not believe anybody wishing to teach or do serious work on Pattern Recognition can ignore this book, as it is the sort of book one wishes to find the time to read from cover to cover!" (Pattern Analysis & Applications Journal, 2001)
<p>
"This book is the unique text/professional reference for any serious student or worker in the field of pattern recognition." (Mathematical Reviews, Issue 2001k)
<p>
"...strongly recommended both as a professional reference and as a text for students..." (Technometrics, February 2002)
<p>
"...gives a systematic overview about the major topics in pattern recognition, based whenever possible on fundamental principles." (Zentralblatt MATH, Vol. 968, 2001/18)

<P>"attractively presented and readable" (Journal of Classification, Vol.18, No.2 2001)

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