Kernel Methods for Pattern Analysis
John Shawe-Taylor, University of Southampton;
Nello Cristianini, University of Bristol
Cambridge University Press, 2004
ISBN: 0-521-81397-2;
Language: English
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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