Computer Manual in MATLAB to Accompany Pattern Classification
2nd Revised edition
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Computer Manual in MATLAB to Accompany Pattern Classification by David G. Stork
Book DescriptionComputer Manual to Accompany Pattern Classification and its associated MATLAB software is an excellent companion to Duda: Pattern Classfication, 2nd ed, (DH&S). The code contains all algorithms described in Duda as well as supporting algorithms for data generation and visualization. The Manual uses the same terminology as the DH&S text and contains step-by-step worked examples, including many of the examples and figures in the textbook. The Manual is accompanied by software that is available electronically. The software contains all algorithms in DH&S, indexed to the textbook, and uses symbols and notation as close as possible to the textbook. The code is self-annotating so the user can easily navigate, understand and modify the code.
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Book DetailsISBN: 9780471429777
(278mm x 215mm x 10mm)
Imprint: John Wiley & Sons Inc
Publisher: John Wiley and Sons Ltd
Publish Date: 20-Apr-2004
Country of Publication: United States
Books By Author David G. Stork
Pattern Classification, Hardback (November 2000)
Pattern 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.
HAL's Legacy, Paperback (April 1998)» View all books by David G. Stork
How science fiction's most famous computer has influenced the research and design of intelligent machines.
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Author Biography - David G. Stork
DAVID G. STORK, PhD, is Chief Scientist at Ricoh Innovations, Inc., and Consulting Professor of Electrical Engineering at Stanford University. A graduate of MIT and the University of Maryland, he is the founder and leader of the Open Mind Initiative and the coauthor, with Richard Duda and Peter Hart, of Pattern Classification, Second Edition, as well as four other books. ELAD YOM-TOV, PhD, is a research scientist at IBM Research Lab in Haifa, working on the applications of machine learning to search technologies, bioinformatics, and hardware verification (among others). He is a graduate of Tel-Aviv University and the Technion.
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