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
Czech Technical University Prague
Faculty of Electrical Engineering
Center for Machine Perception
Modifications:
22-dec-2004, VF
08-oct-2004, VF
10-jun-2004, VF
20-sep-2003, VF