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<html><head>  <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1">  <title>Contents.m</title><link rel="stylesheet" type="text/css" href="../../stpr.css"></head><body><h1 class="function"> Kernel feature extraction.</h1><pre> <a href = "../../kernels/extraction/gda.html" target="mdsbody">gda</a>         - Generalized Discriminant Analysis. <a href = "../../kernels/extraction/greedyappx.html" target="mdsbody">greedyappx</a>  - Kernel greedy data approximation. <a href = "../../kernels/extraction/greedykpca.html" target="mdsbody">greedykpca</a>  - Greedy kernel PCA. <a href = "../../kernels/extraction/kpca.html" target="mdsbody">kpca</a>        - Kernel Principal Component Analysis. <a href = "../../kernels/extraction/kpcarec.html" target="mdsbody">kpcarec</a>     - Reconstructs image after kernel PCA. About: Statistical Pattern Recognition Toolbox (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac <a href="http://www.cvut.cz">Czech Technical University Prague</a> <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a> <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a> Modifications: 10-jun-2004, VF</pre></body></html>

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