Description: Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space of the basic image pixels are positive, and face image in the sub-space projection coefficient is positive
- [NMF] - Matrix is based on a partial non-negativ
- [PCA_LDA_LPP_Tensor] - PCA/LDA/LO/TensorLPP/code. Alignment is
- [c04] - This process the image into a binary ima
- [KPCA_RVM] - A novel modeling method integrated KPCA
- [lda] - lda linear feature extraction for face r
- [nmf_test] - Non—negative matrix factorization algrio
- [sound_recognition_system] - Based on wavelet packet voice feature ex
- [NMFAlgorithm] - NMF Algorithm, which was written by myse
- [pca] - Facial feature extraction methods PCA, p
- [NMF] - NMF
File list (Check if you may need any files):
a.cpp
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