Maximum variance projections for face recognition
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Deli Zhao | Jie Yang | Huahua Wang | Chunhua Du | Tianhao Zhang | Huahua Wang | Tianhao Zhang | Jie Yang | Chunhua Du | Deli Zhao
[1] Jorma Laaksonen. Local Subspace Classifier , 1997, ICANN.
[2] S. Rosenberg. The Laplacian on a Riemannian Manifold: The Laplacian on a Riemannian Manifold , 1997 .
[3] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[4] A. Martínez,et al. The AR face databasae , 1998 .
[5] Xiaoou Tang,et al. Dual-space linear discriminant analysis for face recognition , 2004, CVPR 2004.
[6] H. Zha,et al. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment , 2004, SIAM J. Sci. Comput..
[7] D. D. Ridder,et al. Locally linear embedding for classification , 2002 .
[8] H. Sebastian Seung,et al. The Manifold Ways of Perception , 2000, Science.
[9] Aziz Umit Batur,et al. Linear subspaces for illumination robust face recognition , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[10] Amnon Shashua,et al. Manifold pursuit: a new approach to appearance based recognition , 2002, Object recognition supported by user interaction for service robots.
[11] Deli Zhao,et al. Linear local tangent space alignment and application to face recognition , 2007, Neurocomputing.
[12] P. Jonathon Phillips,et al. Support Vector Machines Applied to Face Recognition , 1998, NIPS.
[13] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[14] Azriel Rosenfeld,et al. Face recognition: A literature survey , 2003, CSUR.
[15] Lawrence K. Saul,et al. Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold , 2003, J. Mach. Learn. Res..
[16] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[17] Aleix M. Martinez,et al. The AR face database , 1998 .
[18] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[19] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[20] Witold Pedrycz,et al. Face recognition: A study in information fusion using fuzzy integral , 2005, Pattern Recognit. Lett..
[21] Ashok Samal,et al. Automatic recognition and analysis of human faces and facial expressions: a survey , 1992, Pattern Recognit..
[22] Avinash C. Kak,et al. PCA versus LDA , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[23] Rama Chellappa,et al. Human and machine recognition of faces: a survey , 1995, Proc. IEEE.
[24] Juyang Weng,et al. Using Discriminant Eigenfeatures for Image Retrieval , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[25] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.