[1] Duda R O，Hart P E，Stork D G. Pattern Classification [M]. New York：John Wiley & Sons，2000.

[2] Belhumeur P N，Hespanha Joao P，Kriegman David J. Eigenfaces vs. Fisherfaces: Recognition using class specific linear

     projection [J]. IEEE Trans. Pattern Analysis and Machine Intelligence(S0162-8828)，1997，19(7)：711-720.

[3] Analysis and Machine Intelligence(S0162-8828)，2005，27(3)：328-340.

     HE Xiao-fei，YAN Shui-cheng，HU Yu-xiao，et al. Face Recognition Using Laplacianfaces [J]. IEEE Trans on Pattern

[4] HE Xiao-fei，CAI Deng，YAN Shui-cheng，et al. Neighborhood preserving embedding [C]//Tenth IEEE International

     Conference on Computer Vision，Beijing，China，Oct 17-21，2005，2：1208-1213.

[5] YAN Shui-cheng，XU Dong，ZHANG Ben-yu，et al. Graph embedding and extensions: A general framework for dimensionality

     reduction [J]. IEEE Trans. Pattern Analysis and Machine Intelligence(S0162-8828)，2007，29(1)：40-51.

[6] Belkin M，Niyogi P. Laplacian eigenmaps and spectral techniques for embedding and clustering [C]//Advances in Neural

     Information Processing System，Vancouveer，British Columbia，Canada，December 3-8，2001：585-591.

[7] Roweis S T，Saul L K. Nonlinear dimensionality reduction by locally linear embedding [J]. Science(S0036-8075)，2000，

     290(5500)：2323-2326.

[8] SONG Feng-xi，CHENG Ke，YANG Jing-yu. Maximum scatter difference，large margin linear projection and support and support vector machines [J]. Acta Automatica Sinica，2004，30(6)：890-896.

[9] Trans. on Neural Networks(S1045-9227)，2006，17(1)：1157-1165.

     LI Hai-feng，JIANG Tao，ZHANG Ke-shu. Efficient and robust feature extraction by maximum margin criterion [J]. IEEE

[10] CAI Deng，HE Xiao-fei，HU Yu-xiao，et al. Learning a Spatially Smooth Subspace for Face Recognition[C]//IEEE Computer

     Society Conference on Computer Vision and Pattern Recognition，Minneapolis，Minnesota，USA，June 18-23，2007：1-7.