% Kernel machines.%% extraction  - (dir) Kernel feature extraction.% preimage    - (dir) Pre-image problem for RBF kernel.%% diagker     - Returns diagonal of kernel matrix.% dualcov     - Dual representation of covariance matrix.% dualmean    - Computes dual representation of mean vector.% kdist       - Computes distance between points in kernel space. % kernel      - Evaluates kernel function.% kernelproj  - Kernel projection.    % kfd         - Kernel Fisher Discriminat.% knorm       - Computes L2-norm in kernel space.% kperceptr   - Kernel Perceptron.% lin2svm     - Merges linear rule and kernel projection. % minball     - Minimal enclosing ball in kernel feature space.% % rsrbf       - Redused Set Method for RBF kernel expansion.   % rspoly2     - Reduced Set Method for homegeneous 2nd polynomial kernel.% About: Statistical Pattern Recognition Toolbox% (C) 1999-2004, 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:% 22-dec-2004, VF% 08-oct-2004, VF% 10-jun-2004, VF% 20-sep-2003, VF