1A. Mohan, G. Sapiro, and E. Bosch, "Spatially Coherent Nonlinear Dimensionality Reduction and Segmentation of Hyperspectral Images," IEEE Geosci. Remote Sensing Lett. , 2007,4:206 - 210.
2A. Talwalkar, S. Kumar, and H. Rowley, " Large-scale manifold learning," presented at the Computer Vision and Pattern Recognition, 2008. IEEE Conference on, pp. 1 -8.
3E. Kokiopoulou and P. Frossard, " Semantic Coding by Supervised Dimcnsionality Reduction," Multimedia, IEEE Transactions on, 2008,10(5) :806-818.
3[1]HYVRINEN A.Survey on independent component analysis[J].Neural Computing Surveys,1999,2 (4):94-128.
4[2]TURK M,PENTLAND A.Eigenfaces for recognition[J].Journal of Cognitive Neuroscience,1991,3 (1):71-86.
5[3]GONZALEZ R C,WOODS R E.Digital image processing:2nd ed[M].Beijing:Publishing House of Electronics Industry,2003.
6[4]SEUNG H S,LEE D D.The manifold ways of perception[J].Science,2000,290(5500):2268-2269.
7[5]TENENBAUM J,SILVA D D,LANGFORD J.A global geometric framework for nonlinear dimensionality reduction[J].Science,2000,290(5500):2319-2323.
8[6]ROWEIS S,SAUL L.Nonlinear dimensionality reduction by locally linear embedding[J].Science,2000,290(5500):2323-2326.
9[9]ZHANG C S,WANG J,ZHAO N Y,ZHANG D.Reconstruction and analysis of multi-pose face images based on nonlinear dimensionality reduction[J].Pattern Recognition,2004,37(1):325-336.
10[13]BELKIN M,NIYOGI P.Laplacian eigenmaps for dimensionality reduction and data representation[J].Neural Computation,2003,15(6):1373-1396.