Joint geometry and variability for image recognition
暂无分享,去创建一个
[1] Ke Lu,et al. Neighborhood preserving regression for image retrieval , 2011, Neurocomputing.
[2] Hyeonjoon Moon,et al. The FERET Evaluation Methodology for Face-Recognition Algorithms , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Deng Cai,et al. Tensor Subspace Analysis , 2005, NIPS.
[4] Jiawei Han,et al. Isometric Projection , 2007, AAAI.
[5] Keinosuke Fukunaga,et al. Introduction to statistical pattern recognition (2nd ed.) , 1990 .
[6] Zhigang Luo,et al. Non-Negative Patch Alignment Framework , 2011, IEEE Transactions on Neural Networks.
[7] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[8] Zhigang Luo,et al. Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent , 2011, IEEE Transactions on Image Processing.
[9] Chun Chen,et al. Active Learning Based on Locally Linear Reconstruction , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Xiaoyang Tan,et al. Sparsity preserving projections with applications to face recognition , 2010, Pattern Recognit..
[11] Jingjing Liu,et al. Two-dimensional margin, similarity and variation embedding , 2012, Neurocomputing.
[12] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[13] Yongdong Zhang,et al. Multiview Spectral Embedding , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[14] Yong Xu,et al. One improvement to two-dimensional locality preserving projection method for use with face recognition , 2009, Neurocomputing.
[15] V. Strassen. Gaussian elimination is not optimal , 1969 .
[16] Xuelong Li,et al. General Tensor Discriminant Analysis and Gabor Features for Gait Recognition , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Xuelong Li,et al. Patch Alignment for Dimensionality Reduction , 2009, IEEE Transactions on Knowledge and Data Engineering.
[18] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[19] Xuelong Li,et al. Discriminative Orthogonal Neighborhood-Preserving Projections for Classification , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[20] Lawrence K. Saul,et al. Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold , 2003, J. Mach. Learn. Res..
[21] Yousef Saad,et al. Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Jun Yu,et al. Complex Object Correspondence Construction in Two-Dimensional Animation , 2011, IEEE Transactions on Image Processing.
[23] Jingjing Liu,et al. Enhanced fisher discriminant criterion for image recognition , 2012, Pattern Recognit..
[24] Dacheng Tao,et al. Subspaces Indexing Model on Grassmann Manifold for Image Search , 2011, IEEE Transactions on Image Processing.
[25] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[26] Zhigang Luo,et al. NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization , 2012, IEEE Transactions on Signal Processing.
[27] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Shuicheng Yan,et al. Neighborhood preserving embedding , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[29] Kaizhu Huang,et al. m-SNE: Multiview Stochastic Neighbor Embedding , 2011, IEEE Trans. Syst. Man Cybern. Part B.
[30] I. Jolliffe. Principal Component Analysis , 2002 .
[31] Dacheng Tao,et al. Max-Min Distance Analysis by Using Sequential SDP Relaxation for Dimension Reduction , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Hui Xu,et al. Two-dimensional supervised local similarity and diversity projection , 2010, Pattern Recognit..
[33] Xindong Wu,et al. Manifold elastic net: a unified framework for sparse dimension reduction , 2010, Data Mining and Knowledge Discovery.
[34] Xuelong Li,et al. Supervised Tensor Learning , 2005, ICDM.
[35] Jian Yang,et al. Sparse two-dimensional local discriminant projections for feature extraction , 2011, Neurocomputing.
[36] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.
[37] Shuicheng Yan,et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007 .
[38] Dacheng Tao,et al. Sparse transfer learning for interactive video search reranking , 2012, TOMCCAP.
[39] Alejandro F. Frangi,et al. Two-dimensional PCA: a new approach to appearance-based face representation and recognition , 2004 .
[40] Kilian Q. Weinberger,et al. Unsupervised Learning of Image Manifolds by Semidefinite Programming , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[41] Xuelong Li,et al. Geometric Mean for Subspace Selection , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.