Description: The kernel-ica package is a Matlab program that implements the Kernel
ICA algorithm for independent component analysis (ICA). The Kernel ICA
algorithm is based on the minimization of a contrast function based on
kernel ideas. A contrast function measures the statistical dependence
between components, thus when applied to estimated components and
minimized over possible demixing matrices, components that are as
independent as possible are found.
- [svm_v0.55beta] - The newest work tools of svm,it will be
- [kernel-ica] - It is a kernel independent component ana
- [particle-filter-mcmc] - the program based on particle filter for
- [kernel-ica1_1.tar] - can be used for nuclear ICA face recogni
- [ICA_intro] - ICA Introduction courseware. There has b
- [KernelICA] - KICA algorithm using face recognition, v
- [tca1_0.tar] - The tca package is a Matlab program that
- [icaML] - he algorithm is equivalent to Infomax by
- [r-kdda] - Matlab source codes for the kernel direc
- [FastICA] - Fast ICA algorithm to achieve an example
File list (Check if you may need any files):