Kirby M, Sirovich L. Application of the karhunen21oeve procedure for the charatefization of human faces[J]. IEEE Transactions on Pattern A Nalysis and Machi nc Intelligence, 1990, 12( 1 ) : 103-108.
[2]
Turk M, Pentland A. Eigenfaces for recognition[J]. Journal of Cognitive Neuroscience, 1991, 3( 1 ) : 72-86.
[3]
Phillips P J, Moon H, Rizvi S, et al. The feret evaluation methodology for face recognition algorithms[J]. IEEE Transactions on Pattern A Nalysis and Machi ne Intelligence, 2000, 22(10) : 1090-1104.
[4]
Turk M, Pentalnd A. Eigenfaces for recognition [J]. Journal of Cognitive Neuroscience, 1991,3( 1 ) :71-86.
[5]
Zhao W, Chellappa R, Rosenfeld A, et al. Face recognition: A literature survey [R] . CS-Tech Report4167, University of Maryland, 2000.
[6]
Rowels S T, Saul L K. Nonlmensionality reduction by locally linear embedding [J]. Science, 2000,290(22) :2323-2326.
Bengio Y, Palement J,Vincent P,et al. Out-of-sample extensions for LLE,isomap, MDS, eigenmaps, and special clustering [ A ]. Neural Information Processing Systems [C] , Cambridge, MA: M IT Press, 2003 : 1238-1248.
[10]
Tenenbaum J B, De Silva V, Lan Gford J C. A global geometric framework for nonlinear dimensionality reduction [J]. Science, 2000, 290(5500) :2319-2323.
[11]
Shashua A, Levin A, Avidan S. Manifold pursuit: A new approach to appearance based recognition [ A ]. In: Proceeding of 16th International Conference on Pattern Recognition [C], Quebec City, Canada, 2002:590-594.
[12]
Weng Shi-feng, Zhang Chang-shui, Zhang Xue-gong. Nonlinear dimensionality reduction in the analysis of high dimensional medical data [J]. Journal of Tsinghua University Sci&Tech ,2004,44 (4) :485- 488.
