Orthogonal tensor rank one differential graph preserving projections with its application to facial expression recognition
暂无分享,去创建一个
[1] Shaogang Gong,et al. Appearance Manifold of Facial Expression , 2005, ICCV-HCI.
[2] Qiuqi Ruan,et al. Orthogonal Tensor Neighborhood Preserving Embedding for facial expression recognition , 2011, Pattern Recognit..
[3] Xiaofei He,et al. Locality Preserving Projections , 2003, NIPS.
[4] Dong Xu,et al. Discriminant analysis with tensor representation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[5] Dit-Yan Yeung,et al. Tensor Embedding Methods , 2006, AAAI.
[6] Michael J. Lyons,et al. Coding facial expressions with Gabor wavelets , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.
[7] Shuicheng Yan,et al. Neighborhood preserving embedding , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[8] Takeo Kanade,et al. Comprehensive database for facial expression analysis , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[9] Fei Wang,et al. Feature Extraction by Maximizing the Average Neighborhood Margin , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Deng Cai,et al. Tensor Subspace Analysis , 2005, NIPS.
[11] Jiawei Han,et al. Orthogonal Laplacianfaces for Face Recognition , 2006, IEEE Transactions on Image Processing.
[12] Chiou-Shann Fuh,et al. Learning effective image metrics from few pairwise examples , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[13] Changbo Hu,et al. Manifold of facial expression , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).
[14] Alex Pentland,et al. Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[15] Shuicheng Yan,et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007 .
[16] Dong Liang,et al. A facial expression recognition system based on supervised locally linear embedding , 2005, Pattern Recognit. Lett..
[17] Feiping Nie,et al. Extracting the optimal dimensionality for local tensor discriminant analysis , 2009, Pattern Recognit..
[18] Gang Hua,et al. Face Recognition using Discriminatively Trained Orthogonal Rank One Tensor Projections , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Hao Wang,et al. Affective interaction based on person-independent facial expression space , 2008, Neurocomputing.
[20] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[21] 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..
[22] Amnon Shashua,et al. Linear image coding for regression and classification using the tensor-rank principle , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[23] Quanquan Gu,et al. Local Relevance Weighted Maximum Margin Criterion for Text Classification , 2009, SDM.
[24] Xuelong Li,et al. Tensor Rank One Discriminant Analysis - A convergent method for discriminative multilinear subspace selection , 2008, Neurocomputing.