Multi-manifold metric learning for face recognition based on image sets
暂无分享,去创建一个
[1] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[2] Gang Wang,et al. Discriminative multi-manifold analysis for face recognition from a single training sample per person , 2011, 2011 International Conference on Computer Vision.
[3] Stephen Lin,et al. Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content- Based Image Retrieval , 2007, IEEE Transactions on Image Processing.
[4] Kilian Q. Weinberger,et al. Distance Metric Learning for Large Margin Nearest Neighbor Classification , 2005, NIPS.
[5] Qionghai Dai,et al. Weighted Subspace Distance and Its Applications to Object Recognition and Retrieval With Image Sets , 2009, IEEE Signal Processing Letters.
[6] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[7] Osamu Yamaguchi,et al. Face Recognition Using Multi-viewpoint Patterns for Robot Vision , 2003, ISRR.
[8] Liwei Wang,et al. Subspace distance analysis with application to adaptive Bayesian algorithm for face recognition , 2006, Pattern Recognit..
[9] Ming-Hsuan Yang,et al. Incremental Learning for Robust Visual Tracking , 2008, International Journal of Computer Vision.
[10] Rama Chellappa,et al. Dictionary-Based Face Recognition from Video , 2012, ECCV.
[11] Josef Kittler,et al. Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Michael I. Jordan,et al. Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.
[13] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[14] Ken-ichi Maeda,et al. Face recognition using temporal image sequence , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.
[15] Lior Wolf,et al. Learning over Sets using Kernel Principal Angles , 2003, J. Mach. Learn. Res..
[16] Trevor Darrell,et al. Face recognition with image sets using manifold density divergence , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[17] Daniel D. Lee,et al. Grassmann discriminant analysis: a unifying view on subspace-based learning , 2008, ICML '08.
[18] Ralph Gross,et al. The CMU Motion of Body (MoBo) Database , 2001 .
[19] David G. Stork,et al. Pattern Classification , 1973 .
[20] Trevor Darrell,et al. Face Recognition from Long-Term Observations , 2002, ECCV.
[21] Roberto Cipolla,et al. An information-theoretic approach to face recognition from face motion manifolds , 2006, Image Vis. Comput..
[22] Stephen Lin,et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[24] Mubarak Shah,et al. Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Ruiping Wang,et al. Manifold Discriminant Analysis , 2009, CVPR.
[26] Yuxiao Hu,et al. Face recognition using Laplacianfaces , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[28] David J. Kriegman,et al. Video-based face recognition using probabilistic appearance manifolds , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[29] 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.
[30] Tal Hassner,et al. Face recognition in unconstrained videos with matched background similarity , 2011, CVPR 2011.
[31] Wen Gao,et al. Manifold-Manifold Distance with application to face recognition based on image set , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[32] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[33] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[34] Simon C. K. Shiu,et al. Image Set-Based Collaborative Representation for Face Recognition , 2013, IEEE Transactions on Information Forensics and Security.
[35] Horst Bischof,et al. Large scale metric learning from equivalence constraints , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Rama Chellappa,et al. Video-based face recognition via joint sparse representation , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[37] Likun Huang,et al. Face recognition based on image sets , 2014 .
[38] Rama Chellappa,et al. From sample similarity to ensemble similarity: probabilistic distance measures in reproducing kernel Hilbert space , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] Shin'ichi Satoh,et al. Comparative evaluation of face sequence matching for content-based video access , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[40] Ajmal S. Mian,et al. Sparse approximated nearest points for image set classification , 2011, CVPR 2011.
[41] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[42] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[43] George Karypis,et al. The Set Classification Problem and Solution Methods , 2008, 2008 IEEE International Conference on Data Mining Workshops.
[44] WangGang,et al. Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person , 2013 .
[45] Inderjit S. Dhillon,et al. Information-theoretic metric learning , 2006, ICML '07.
[46] Hugo Larochelle,et al. Classification of Sets using Restricted Boltzmann Machines , 2011, UAI.
[47] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[48] Frédéric Jurie,et al. PCCA: A new approach for distance learning from sparse pairwise constraints , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.