Coupled Discriminant Multi-Manifold Analysis with Application to Low-Resolution Face Recognition
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Liang Chen | Ruimin Hu | Junjun Jiang | Jun Chen | Zhen Han | R. Hu | Junjun Jiang | Zhen Han | Jun Chen | Liang Chen
[1] Shiguang Shan,et al. Low-Resolution Face Recognition via Coupled Locality Preserving Mappings , 2010, IEEE Signal Processing Letters.
[2] Lei Zhu,et al. Face recognition based on orthogonal discriminant locality preserving projections , 2007, Neurocomputing.
[3] David J. Kriegman,et al. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Thomas S. Huang,et al. Face hallucination VIA sparse coding , 2008, 2008 15th IEEE International Conference on Image Processing.
[5] Hua Huang,et al. Super-Resolution Method for Face Recognition Using Nonlinear Mappings on Coherent Features , 2011, IEEE Transactions on Neural Networks.
[6] Pong C. Yuen,et al. Very low resolution face recognition problem , 2010, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[7] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Ruimin Hu,et al. Noise Robust Face Hallucination via Locality-Constrained Representation , 2014, IEEE Transactions on Multimedia.
[9] Robert D. Nowak,et al. Multi-Manifold Semi-Supervised Learning , 2009, AISTATS.
[10] Yongsheng Gao,et al. Face recognition across pose: A review , 2009, Pattern Recognit..
[11] Azriel Rosenfeld,et al. Face recognition: A literature survey , 2003, CSUR.
[12] Maoguo Gong,et al. Position-Patch Based Face Hallucination Using Convex Optimization , 2011, IEEE Signal Processing Letters.
[13] Takeo Kanade,et al. Multi-PIE , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.
[14] D. Yeung,et al. Super-resolution through neighbor embedding , 2004, CVPR 2004.
[15] Ruimin Hu,et al. Locality-constraint iterative neighbor embedding for face hallucination , 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).
[16] Shaogang Gong,et al. Multi-modal tensor face for simultaneous super-resolution and recognition , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[17] S. Sastry,et al. A Review of Fast `1-Minimization Algorithms for Robust Face Recognition , 2010 .
[18] Takeo Kanade,et al. Hallucinating faces , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[19] David J. Kriegman,et al. Acquiring linear subspaces for face recognition under variable lighting , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Seong-Whan Lee,et al. An Example-Based Face Hallucination Method for Single-Frame, Low-Resolution Facial Images , 2008, IEEE Transactions on Image Processing.
[21] Ruimin Hu,et al. Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary Learning , 2014, IEEE Transactions on Image Processing.
[22] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[23] Ruimin Hu,et al. Position-Patch Based Face Hallucination via Locality-Constrained Representation , 2012, 2012 IEEE International Conference on Multimedia and Expo.
[24] Chun Qi,et al. Hallucinating face by position-patch , 2010, Pattern Recognit..
[25] Chun Chen,et al. Graph Regularized Sparse Coding for Image Representation , 2011, IEEE Transactions on Image Processing.
[26] Fan Chung,et al. Spectral Graph Theory , 1996 .
[27] Xiaogang Wang,et al. Hallucinating face by eigentransformation , 2005, IEEE Trans. Syst. Man Cybern. Part C.
[28] Pablo H. Hennings-Yeomans,et al. Simultaneous super-resolution and feature extraction for recognition of low-resolution faces , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.