Multilinear image analysis for facial recognition
暂无分享,去创建一个
[1] THE OPTICAL SOCIETY OF AMERICA , 1923 .
[2] L. Tucker,et al. Some mathematical notes on three-mode factor analysis , 1966, Psychometrika.
[3] H. Neudecker,et al. An approach ton-mode components analysis , 1986 .
[4] L Sirovich,et al. Low-dimensional procedure for the characterization of human faces. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[5] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[6] J. Magnus,et al. Matrix Differential Calculus with Applications in Statistics and Econometrics , 1991 .
[7] B A Wandell,et al. Linear models of surface and illuminant spectra. , 1992, Journal of the Optical Society of America. A, Optics and image science.
[8] Alex Pentland,et al. View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[9] Rama Chellappa,et al. Human and machine recognition of faces: a survey , 1995, Proc. IEEE.
[10] Joos Vandewalle,et al. A Multilinear Singular Value Decomposition , 2000, SIAM J. Matrix Anal. Appl..
[11] Joshua B. Tenenbaum,et al. Separating Style and Content with Bilinear Models , 2000, Neural Computation.
[12] Joos Vandewalle,et al. On the Best Rank-1 and Rank-(R1 , R2, ... , RN) Approximation of Higher-Order Tensors , 2000, SIAM J. Matrix Anal. Appl..
[13] Tamara G. Kolda,et al. Orthogonal Tensor Decompositions , 2000, SIAM J. Matrix Anal. Appl..
[14] Demetri Terzopoulos,et al. Multilinear Analysis of Image Ensembles: TensorFaces , 2002, ECCV.
[15] M. Alex O. Vasilescu. Human motion signatures: analysis, synthesis, recognition , 2002, Object recognition supported by user interaction for service robots.
[16] L. Lathauwer,et al. On the Best Rank-1 and Rank-( , 2004 .