PCA_LDA_LPP_Tensor
所属分类:模式识别(视觉/语音等)
开发工具:matlab
文件大小:16KB
下载次数:812
上传日期:2008-01-02 15:42:56
上 传 者:
flyingegg
说明: PCA,LDA,LPP三种人脸识别的算法
(PCA, LDA, LPP three face recognition algorithms)
文件列表:
PCA_LDA_LPP_Tensor\constructM.m (5339, 2007-04-04)
PCA_LDA_LPP_Tensor\constructW.m (10630, 2007-04-04)
PCA_LDA_LPP_Tensor\LDA.m (2239, 2007-04-04)
PCA_LDA_LPP_Tensor\LPP.m (5488, 2007-04-04)
PCA_LDA_LPP_Tensor\NPE.m (4731, 2007-04-04)
PCA_LDA_LPP_Tensor\OLPP.m (6620, 2007-04-04)
PCA_LDA_LPP_Tensor\PCA.m (6235, 2007-04-04)
PCA_LDA_LPP_Tensor\TensorLPP.m (5695, 2007-04-04)
PCA_LDA_LPP_Tensor (0, 2007-12-29)
Q & A:
Q: How to use the code?
A: You need to put LPP.m, PCA.m in your working directory. If you want to use constrctW to
construct the affinity matrix, you should also put constructW.m in your working directory.
'help LPP' for detail information.
'help constructW' for details on how to construct the affinity matrix.
Q: Why LPP code does not work in my application?
A: If the number of samples is much larger than the number of features, you might need to use the
Kernel LPP.
The affinity graph construction plays a key role, you might need to constuct the affinity
matrix by your own (based on your knowledge of your application). Please refer the following
papers.
Reference:
Xiaofei He, and Partha Niyogi, "Locality Preserving Projections"
Advances in Neural Information Processing Systems 16 (NIPS 2003),
Vancouver, Canada, 2003.
Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, and Hong-Jiang Zhang,
"Face Recognition Using Laplacianfaces", IEEE PAMI, Vol. 27, No. 3, Mar. 2005.
Deng Cai, Xiaofei He and Jiawei Han, "Document Clustering Using Locality Preserving Indexing"
IEEE TKDE, 2005.
Deng Cai, Xiaofei He and Jiawei Han, "Using Graph Model for Face Analysis",
Technical Report, UIUCDCS-R-2005-2636, UIUC, Sept. 2005
近期下载者:
相关文件:
收藏者: