Subspaces Indexing Model on Grassmann Manifold for Image Search
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Dacheng Tao | Zhu Li | Xinchao Wang | D. Tao | Xinchao Wang | Zhu Li
[1] Xindong Wu,et al. Manifold elastic net: a unified framework for sparse dimension reduction , 2010, Data Mining and Knowledge Discovery.
[2] Gilbert Strang,et al. Computational Science and Engineering , 2007 .
[3] Ian T. Jolliffe,et al. Principal Component Analysis , 2002, International Encyclopedia of Statistical Science.
[4] Michael I. Jordan,et al. Learning with Mixtures of Trees , 2001, J. Mach. Learn. Res..
[5] Xuelong Li,et al. General Tensor Discriminant Analysis and Gabor Features for Gait Recognition , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Pengfei Shi,et al. Kernel Grassmannian distances and discriminant analysis for face recognition from image sets , 2009, Pattern Recognit. Lett..
[7] Aggelos K. Katsaggelos,et al. Locally Embedded Linear Subspaces for Efficient Video Indexing and Retrieval , 2006, 2006 IEEE International Conference on Multimedia and Expo.
[8] Daniel D. Lee,et al. Grassmann discriminant analysis: a unifying view on subspace-based learning , 2008, ICML '08.
[9] Bernhard Schölkopf,et al. A kernel view of the dimensionality reduction of manifolds , 2004, ICML.
[10] Aggelos K. Katsaggelos,et al. Fast video shot retrieval based on trace geometry matching , 2005 .
[11] I. Jolliffe. Principal Component Analysis , 2002 .
[12] Meng Wang,et al. MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset , 2009, 2009 IEEE International Conference on Data Mining Workshops.
[13] Xuelong Li,et al. Geometric Mean for Subspace Selection , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Bülent Sankur,et al. Subspace methods for retrieval of general 3D models , 2010, Comput. Vis. Image Underst..
[15] Zhigang Luo,et al. Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent , 2011, IEEE Transactions on Image Processing.
[16] 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.
[17] Jiawei Han,et al. Orthogonal Laplacianfaces for Face Recognition , 2006, IEEE Transactions on Image Processing.
[18] Bülent Sankur,et al. Similarity Learning for 3D Object Retrieval Using Relevance Feedback and Risk Minimization , 2010, International Journal of Computer Vision.
[19] Daniel D. Lee,et al. Subspace-based learning with grassmann kernels , 2008 .
[20] V. Strassen. Gaussian elimination is not optimal , 1969 .
[21] Xuelong Li,et al. Patch Alignment for Dimensionality Reduction , 2009, IEEE Transactions on Knowledge and Data Engineering.
[22] Ying Wu,et al. Query Driven Localized Linear Discriminant Models for Head Pose Estimation , 2007, 2007 IEEE International Conference on Multimedia and Expo.
[23] Libor Spacek,et al. Distinctive Descriptions for Face Processing , 1997, BMVC.
[24] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[25] Mikhail Belkin,et al. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples , 2006, J. Mach. Learn. Res..
[26] Lawrence K. Saul,et al. Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold , 2003, J. Mach. Learn. Res..
[27] Dacheng Tao,et al. Bregman Divergence-Based Regularization for Transfer Subspace Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[28] Yun Fu,et al. Image Classification Using Correlation Tensor Analysis , 2008, IEEE Transactions on Image Processing.
[29] Xiaofei He,et al. Locality Preserving Projections , 2003, NIPS.