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Pattern Recognition

By Konstantinos Koutroumbas

Pattern Recognition Computer Science

Pattern Recognition

Only 1 item left in stock
Description
This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. · Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques · Many more diagrams included--now in two color--to provide greater insight through visual presentation · Matlab code of the most common methods are given at the end of each chapter. · More Matlab code is available, together with an accompanying manual, via this site · Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms. · An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary, and solved examples including real-life data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869).
Product details
Edition:
4
Number of Pages:
984
Release Date:
2008-11-26
Publication Date:
2008-09-01
Publisher:
Elsevier Science
Languages:
Original: English
ISBN10:
1597492728
ISBN13:
9781597492720
GPSR Manufacturer Reference:
[email protected]
Weight:
1992 g
Height:
194 cm
Width:
241 cm
Thickness:
54 cm

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The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.
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