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Pattern Recognition 2nd Ed (2009) pdf
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Pattern Recognition 2nd Ed. (2009).pdf
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Pattern Recognition, Fourth Edition
Sergios Theodoridis, Konstantinos Koutroumbas
Academic Press | 2008 | ISBN: 1597492728 | 984 pages | PDF | 11,6 MB
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-colors--to provide greater insight through visual presentation . Matlab code of the most common methods are given at the end of each chapter.
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.
Solutions manual, powerpoint slides, and additional resources are available to faculty using the text for their course. Register at www.textbooks.elsevier.com and search on \"Theodoridis\" to access resources for instructor.
