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Item Details
Title: PATTERN RECOGNITION & MATLAB INTRO
Volume: AND Matlab Introduction
By: Dr. Sergios Theodoridis, Konstantinos Koutroumbas
Format: Hardback

List price: £80.00


We believe that this item is permanently unavailable, and so we cannot source it.

ISBN 10: 0123744911
ISBN 13: 9780123744913
Publisher: ELSEVIER SCIENCE PUBLISHING CO INC
Pub. date: 12 April, 2010
Edition: 4th
Description: Looks at the classical and the theory and practice, of both supervised and unsupervised 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 a self-contained volume encapsulating this wide spectrum of information.
Synopsis: This specially priced set includes a copy of Theodoridis/Koutroumbas, Pattern Recognition 4e and Theodoridis/Pikrakis/Koutroumbas/Cavouras, Introduction to Pattern Recognition: A Matlab Approach. The main text provides breadth and depth of coverage of pattern recognition theory and application, including modern topics like non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, and combining clustering algorithms. Together with worked examples, exercises, and Matlab applications it provides the most comprehensive coverage currently available. The accompanying manual includes MATLAB code of the most common methods and algorithms in the book, together with a descriptive summary and solved problems, and including real-life data sets in imaging and audio recognition. This specially priced set includes a copy of Theodoridis/Koutroumbas, Pattern Recognition 4e and Theodoridis/Pikrakis/Koutroumbas/Cavouras, Introduction to Pattern Recognition: A Matlab Approach.The main text provides breadth and depth of coverage of pattern recognition theory and application, including modern topics like non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, and combining clustering algorithms. Together with worked examples, exercises, and Matlab applications it provides the most comprehensive coverage currently available. The accompanying manual includes MATLAB code of the most common methods and algorithms in the book, together with a descriptive summary and solved problems, and including real-life data sets in imaging and audio recognition.
Illustrations: ill
Publication: US
Imprint: Academic Press Inc
Returns: Non-returnable
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