Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification
暂无分享,去创建一个
Shiguang Shan | Xilin Chen | Zhiwu Huang | Ruiping Wang | Ruiping Wang | S. Shan | Xilin Chen | Zhiwu Huang
[1] Josef Kittler,et al. Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[3] David Zhang,et al. From Point to Set: Extend the Learning of Distance Metrics , 2013, 2013 IEEE International Conference on Computer Vision.
[4] Hakan Cevikalp,et al. Nearest hyperdisk methods for high-dimensional classification , 2008, ICML '08.
[5] John Shawe-Taylor,et al. Canonical Correlation Analysis: An Overview with Application to Learning Methods , 2004, Neural Computation.
[6] Gert R. G. Lanckriet,et al. Learning Multi-modal Similarity , 2010, J. Mach. Learn. Res..
[7] Larry S. Davis,et al. Covariance discriminative learning: A natural and efficient approach to image set classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Bernt Schiele,et al. Analyzing contour and appearance based methods for object categorization , 2003, CVPR 2003.
[9] Brian C. Lovell,et al. Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching , 2011, CVPR 2011.
[10] D. Jacobs,et al. Bypassing synthesis: PLS for face recognition with pose, low-resolution and sketch , 2011, CVPR 2011.
[11] Xiaohua Zhai,et al. Heterogeneous Metric Learning with Joint Graph Regularization for Cross-Media Retrieval , 2013, AAAI.
[12] David W. Jacobs,et al. Generalized Multiview Analysis: A discriminative latent space , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Vladimir Pavlovic,et al. Face tracking and recognition with visual constraints in real-world videos , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Shiguang Shan,et al. Benchmarking Still-to-Video Face Recognition via Partial and Local Linear Discriminant Analysis on COX-S2V Dataset , 2012, ACCV.
[15] Bernt Schiele,et al. Analyzing appearance and contour based methods for object categorization , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[16] Ken-ichi Maeda,et al. Face recognition using temporal image sequence , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.
[17] Daniel D. Lee,et al. Extended Grassmann Kernels for Subspace-Based Learning , 2008, NIPS.
[18] Inderjit S. Dhillon,et al. Information-theoretic metric learning , 2006, ICML '07.
[19] Pengtao Xie,et al. Multi-Modal Distance Metric Learning , 2013, IJCAI.
[20] Hakan Cevikalp,et al. Face recognition based on image sets , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[21] Hongdong Li,et al. Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Christoph H. Lampert,et al. Learning Multi-View Neighborhood Preserving Projections , 2011, ICML.
[23] Jen-Tzung Chien,et al. Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[24] Jürgen Schmidhuber,et al. Multimodal Similarity-Preserving Hashing , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Nikos Paragios,et al. Data fusion through cross-modality metric learning using similarity-sensitive hashing , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[26] Geoffrey E. Hinton,et al. Neighbourhood Components Analysis , 2004, NIPS.
[27] Daniel D. Lee,et al. Grassmann discriminant analysis: a unifying view on subspace-based learning , 2008, ICML '08.
[28] Gang Wang,et al. Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning , 2013, 2013 IEEE International Conference on Computer Vision.
[29] Masashi Sugiyama,et al. Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis , 2007, J. Mach. Learn. Res..
[30] Rama Chellappa,et al. Kernel Learning for Extrinsic Classification of Manifold Features , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Xavier Pennec,et al. A Riemannian Framework for Tensor Computing , 2005, International Journal of Computer Vision.
[32] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[33] Nicholas Ayache,et al. Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices , 2007, SIAM J. Matrix Anal. Appl..
[34] Pascal Vincent,et al. K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms , 2001, NIPS.