Description: ICA algorithm:The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
- [VclSkinv2.60] - a good source of the skin
- [waveletdefinition.Rar] - Wavelet Transform! We first used used to
- [bysj1] - used to write small LAN chat system, sui
- [ICAforImage] - Matlab environment based on the independ
- [BFGS_C.Rar] - bfgs domain algorithm ambitious minimum
- [ccipca] - ccipca algorithm Matlab, this is an impr
- [pcasift-0.91nd.tar] - PCA-SIFT invariant image feature extract
- [nn] - Linear neural network, BP neural network
- [ml] - The algorithm contains the maximum likel
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