Sparse Approximation to the Eigensubspace for Discrimination
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Jian Yang | Wai Keung Wong | Zhong Jin | Zhihui Lai | Yong Xu | Zhong Jin | Zhihui Lai | Jian Yang | Yong Xu | W. Wong
[1] I. Jolliffe. Principal Component Analysis , 2002 .
[2] Stefanos Zafeiriou,et al. Regularized Kernel Discriminant Analysis With a Robust Kernel for Face Recognition and Verification , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[3] Jian Yang,et al. An approach for directly extracting features from matrix data and its application in face recognition , 2008, Neurocomputing.
[4] R. Tibshirani,et al. Sparse Principal Component Analysis , 2006 .
[5] Trevor J. Hastie,et al. Sparse Discriminant Analysis , 2011, Technometrics.
[6] Shai Avidan,et al. Generalized spectral bounds for sparse LDA , 2006, ICML.
[7] Jianhua Z. Huang,et al. Sparse Linear Discriminant Analysis with Applications to High Dimensional Low Sample Size Data , 2009 .
[8] Simon C. K. Shiu,et al. Two Dimensional Laplacianfaces Method for Face Recognition , 2006, RSCTC.
[9] Charles R. Johnson,et al. Topics in Matrix Analysis , 1991 .
[10] Jieping Ye,et al. Generalized Low Rank Approximations of Matrices , 2004, Machine Learning.
[11] Keinosuke Fukunaga,et al. Introduction to statistical pattern recognition (2nd ed.) , 1990 .
[12] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[13] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[14] Zhonghua Liu,et al. Two-Dimensional Local Graph Embedding Discriminant Analysis(F2DLGEDA) with Its Application to Face and Palm Biometrics , 2009 .
[15] Deng Cai,et al. Tensor Subspace Analysis , 2005, NIPS.
[16] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[17] Yong Xu,et al. One improvement to two-dimensional locality preserving projection method for use with face recognition , 2009, Neurocomputing.
[18] Xiaofei He,et al. Locality Preserving Projections , 2003, NIPS.
[19] Fengxi Song,et al. A novel local preserving projection scheme for use with face recognition , 2010, Expert Syst. Appl..
[20] Xindong Wu,et al. Manifold elastic net: a unified framework for sparse dimension reduction , 2010, Data Mining and Knowledge Discovery.
[21] D. Ruppert. The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .
[22] Alejandro F. Frangi,et al. Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004 .
[23] Jieping Ye,et al. Two-Dimensional Linear Discriminant Analysis , 2004, NIPS.
[24] Kuanquan Wang,et al. Bidirectional PCA with assembled matrix distance metric for image recognition , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[25] Bin Luo,et al. 2D-LPP: A two-dimensional extension of locality preserving projections , 2007, Neurocomputing.
[26] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] L. Eldén. Algorithms for the regularization of ill-conditioned least squares problems , 1977 .
[28] Anil K. Jain,et al. Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[29] Michael I. Jordan,et al. A Direct Formulation for Sparse Pca Using Semidefinite Programming , 2004, SIAM Rev..
[30] Pavel Pudil,et al. Introduction to Statistical Pattern Recognition , 2006 .
[31] Zhong Jin,et al. Two-Dimensional Local Graph Embedding Discriminant Analysis(F2DLGEDA) with Its Application to Face and Palm Biometrics , 2009, 2009 Chinese Conference on Pattern Recognition.
[32] Dong Xu,et al. Discriminant analysis with tensor representation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[33] Hua Huang,et al. Super-Resolution Method for Face Recognition Using Nonlinear Mappings on Coherent Features , 2011, IEEE Transactions on Neural Networks.
[34] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[35] Liwei Wang,et al. On image matrix based feature extraction algorithms , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[36] Aleix M. Martinez,et al. The AR face database , 1998 .
[37] Avinash C. Kak,et al. PCA versus LDA , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[38] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[39] Dewen Hu,et al. Comment on: "Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition" , 2008, Pattern Recognit..
[40] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[41] BakerSimon,et al. The CMU Pose, Illumination, and Expression Database , 2003 .
[42] Ming Li,et al. 2D-LDA: A statistical linear discriminant analysis for image matrix , 2005, Pattern Recognit. Lett..
[43] David Zhang,et al. Local Linear Discriminant Analysis Framework Using Sample Neighbors , 2011, IEEE Transactions on Neural Networks.
[44] Zhonglong Zheng. Sparse Locality Preserving Embedding , 2009, 2009 2nd International Congress on Image and Signal Processing.
[45] Qiuqi Ruan,et al. Facial expression recognition based on two-dimensional discriminant locality preserving projections , 2008, Neurocomputing.
[46] Shai Avidan,et al. Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms , 2005, NIPS.
[47] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[48] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[49] H. Zou,et al. Regression Shrinkage and Selection via the Elastic Net , with Applications to Microarrays , 2003 .
[50] Jian Yang,et al. Sparse Tensor Discriminant Color Space for Face Verification , 2012, IEEE Transactions on Neural Networks and Learning Systems.