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Pattern Classification
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Format: Hardback
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Pattern Classification
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
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See morePattern recognition is the construction of algorithms to decode and recognize images or data patterns in so-called random data. It is a vital and growing field with applications in artifical intelligence, machine learing, data mining, speech recognition, bioinformatics, and computer vision.
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Description
Pattern Classification involves the assignment of a physical object or event to one of several pre-specified categories. It represents the basic theory underlying pattern recognition by computers. With the spread of neural network research, pattern classification has seen a significant increase in both interest and research activity.
This edition has been completely revised, enlarged, and formatted in two colour. It presents a systematic account of the major topics in pattern recognition, grounded in fundamental principles. The book includes extensive examples and exercises, and it is accompanied by a solutions manual.
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Pattern Classification by Richard O. Duda, Peter E. Hart, and David G. Stork offers an excellent introduction to the field of pattern recognition, highly praised for its clarity and systematic approach. It is often recommended as a benchmark for future authors and considered an invaluable resource for both students and professionals. The book is noted for providing thorough guidance on selecting appropriate techniques for various problems, making it essential reading for anyone seriously engaged in the subject.
Book Details
INFORMATION
ISBN: 9780471056690
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 21 November 2000
Country: United States
Imprint: Wiley-Interscience
Edition: 2nd edition
Audience: Tertiary education, Professional and scholarly
DIMENSIONS
Spine width: 38.0mm
Width: 185.0mm
Height: 257.0mm
Weight: 1225g
Pages: 688
About the Author
RICHARD O. DUDA, PhD, is Professor in the Electrical Engineering Department at San Jose State University, San Jose, California.
PETER E. HART, PhD, is Chief Executive Officer and President of Ricoh Innovations, Inc. in Menlo Park, California.
DAVID G. STORK, PhD, is Chief Scientist, also at Ricoh Innovations, Inc.
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