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Kernel Methods for Pattern Analysis 8396

Kernel Methods for Pattern Analysis

This text provides students with an introduction to kernel-based pattern analysis, and provides practicioners with a large toolkit of algorithms, kernels, and solutions ready to be implemented. Topics covered include properties of kernels, detecting stable patterns, pattern analysis using eigen-decompositions and convex optimization, ranking, and constructing kernels. MATLAB is used throughout the book to solve example problems.

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About This Book

John Shawe-Taylor, University of Southampton
Nello Cristianini, University of Bristol

Cambridge University Press, 2004

ISBN: 0-521-81397-2
Language: English