Robust face recognition via sparse representation,” (preprint

by John Wright , Student Member , Allen Y. Yang , Arvind Ganesh , Student Member , S. Shankar Sastry , Yi Ma , Senior Member
Venue:IEEE Trans. Pattern Analysis and Machine Intelligence
Citations:145 - 18 self

Active Bibliography

18 Sparse Representation For Computer Vision and Pattern Recognition – John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas Huang, Shuicheng Yan - 2009
10 Feature selection in face recognition: A sparse representation perspective – Allen Y. Yang, John Wright, Student Member, Yi Ma, Senior Member, S. Shankar Sastry - 2007
FAST AND ROBUST FACE RECOGNITION VIA PARALLELIZED ℓ1 MINIMIZATION – Andrew W. Wagner - 2011
2 Recognition of Humans and Their Activities Using Video – Rama Chellappa, Amit K. Roy-Chowdhury, Shaohua K. Zhou
Unconstrained Face Recognition From a Single Image – Shaohua Kevin Zhou, Narayanan Ramanathan
Compressive sensing: a paradigm shift in signal processing – Olga V. Holtz - 812
1 Discriminative Local Sparse Representations for Robust Face Recognition – Yi Chen, Umamahesh Srinivas, Thong T. Do, Vishal Monga, Trac D. Tran
5 Classification via minimum incremental coding length (MICL – John Wright, Yi Ma, Yangyu Tao, Zhouchen Lin, Heung-yeung Shum - 2007
1 Face Recognition Committee Machine – Ho-Man Tang Michael
4 Random observations on random observations: Sparse signal acquisition and processing – Mark A. Davenport, Kevin F. Kelly, Associate Professor, Ronald A. Devore, Walter E. Koss Professor, Mark A. Davenport - 2010
The Complete Gabor-Fisher Classifier for Robust Face Recognition – Vitomir Štruc, Nikola Pavešić
A Linear Subspace Learning Approach via Sparse Coding – Lei Zhang A, Pengfei Zhu A, Qinghua Hu B, David Zhang A
3 Face recognition with contiguous occlusion using markov random fields – Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wright, Yi Ma
Human Identification Using Gait and Face – Rama Chellappa, Amit K. Roy-Chowdhury, Shaohua Kevin Zhou
A GUIDED TOUR OF FACE PROCESSING – n.n.
4 Compressive Sensing – Massimo Fornasier, Holger Rauhut - 2010
4 The Geometry of Low-Dimensional Signal Models – Michael B. Wakin - 2006
3 COMPRESSED SENSING OF TIME-VARYING SIGNALS – D. Angelosante, G. B. Giannakis, E. Grossi
185 Just Relax: Convex Programming Methods for Identifying Sparse Signals in Noise – Joel A. Tropp - 2006