-
1
-
-
0030779611
-
Sparse coding with an overcomplete basis set: A strategy employed by V1?
-
B. Olshausen and D. Field. Sparse coding with an overcomplete basis set: A strategy employed by V1? Vision Research, 37(23):3311-3325, 1997.
-
(1997)
Vision Research
, vol.37
, Issue.23
, pp. 3311-3325
-
-
Olshausen, B.1
Field, D.2
-
2
-
-
33750383209
-
The K-SVD: An algorithm for designing of overcomplete dictionaries for sparse representation
-
M. Aharon, M. Elad, and A. M. Bruckstein. The K-SVD: An algorithm for designing of overcomplete dictionaries for sparse representation. IEEE SP, 54(11):4311-4322, 2006.
-
(2006)
IEEE SP
, vol.54
, Issue.11
, pp. 4311-4322
-
-
Aharon, M.1
Elad, M.2
Bruckstein, A.M.3
-
4
-
-
85194972808
-
Regression shrinkage and selection via the LASSO
-
R. Tibshirani. Regression shrinkage and selection via the LASSO. Journal of the Royal Statistical Society B, 58(1):267-288, 1996.
-
(1996)
Journal of the Royal Statistical Society B
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
5
-
-
33646365077
-
For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution
-
D. Donoho. For Most Large Underdetermined Systems of Linear Equations the Minimal l1-Norm Solution is also the Sparsest Solution. Comm. Pure and Applied Math., 59(6):797-829, 2006.
-
(2006)
Comm. Pure and Applied Math.
, vol.59
, Issue.6
, pp. 797-829
-
-
Donoho, D.1
-
7
-
-
84946077141
-
Sparse representation for signal classification
-
K. Huang and S. Aviyente. Sparse representation for signal classification. In NIPS, 2006.
-
(2006)
NIPS
-
-
Huang, K.1
Aviyente, S.2
-
8
-
-
61549128441
-
Robust face recognition via sparse representation
-
J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma. Robust face recognition via sparse representation. IEEE PAMI, 31(2):210-227, 2009.
-
(2009)
IEEE PAMI
, vol.31
, Issue.2
, pp. 210-227
-
-
Wright, J.1
Yang, A.Y.2
Ganesh, A.3
Sastry, S.S.4
Ma, Y.5
-
9
-
-
84857008614
-
Kernel sparse representation for image classification and face recognition
-
S. H. Gao, I. W-H. Tsang, and L-T. Chia. Kernel Sparse Representation for Image Classification and Face Recognition. In ECCV, 2010.
-
(2010)
ECCV
-
-
Gao, S.H.1
Tsang, I.W.-H.2
Chia, L.-T.3
-
10
-
-
78651092283
-
Gabor feature based sparse representation for face recognition with gabor occlusion dictionary
-
M. Yang and L. Zhang. Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary. In ECCV, 2010.
-
(2010)
ECCV
-
-
Yang, M.1
Zhang, L.2
-
11
-
-
77949722130
-
Learning with l1-graph for image analysis
-
B. Cheng, J. Yang, S. Yan, Y. Fu, and T. Huang. Learning with l1-graph for image analysis. IEEE IP, 19(4):858-866, 2010.
-
(2010)
IEEE IP
, vol.19
, Issue.4
, pp. 858-866
-
-
Cheng, B.1
Yang, J.2
Yan, S.3
Fu, Y.4
Huang, T.5
-
12
-
-
70450209196
-
Linear spatial pyramid matching using sparse coding for image classification
-
J. Yang, K. Yu, Y. Gong and T. Huang. Linear spatial pyramid matching using sparse coding for image classification. In CVPR 2009.
-
(2009)
CVPR
-
-
Yang, J.1
Yu, K.2
Gong, Y.3
Huang, T.4
-
13
-
-
77952717202
-
Sparse representation for computer vision and pattern recognition
-
J. Wright, Y. Ma, J. Mairal, G. Sapiro, T. Huang, and S. Yan. Sparse representation for computer vision and pattern recognition. Proceedings of IEEE, Special Issue on Applications of Compressive Sensing & Sparse Representation, 98(6):1031-1044, 2010.
-
(2010)
Proceedings of IEEE, Special Issue on Applications of Compressive Sensing & Sparse Representation
, vol.98
, Issue.6
, pp. 1031-1044
-
-
Wright, J.1
Ma, Y.2
Mairal, J.3
Sapiro, G.4
Huang, T.5
Yan, S.6
-
14
-
-
51949108630
-
Simultaneous image transformation and sparse representation recovery
-
J. Z. Huang, X. L. Huang, and D. Metaxas. Simultaneous image transformation and sparse representation recovery. In CVPR 2008.
-
(2008)
CVPR
-
-
Huang, J.Z.1
Huang, X.L.2
Metaxas, D.3
-
15
-
-
70450162109
-
Towards a practical face recognition system: Robust registration and illumination by sparse representation
-
A. Wagner, J. Wright, A. Ganesh, Z.H. Zhou, and Y. Ma, Towards a practical face recognition system: Robust registration and illumination by sparse representation. In CVPR 2009.
-
(2009)
CVPR
-
-
Wagner, A.1
Wright, J.2
Ganesh, A.3
Zhou, Z.H.4
Ma, Y.5
-
16
-
-
77956007151
-
RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images. Submitted to
-
Y. Peng, A. Ganesh, J. Wright, W. Xu, and Y. Ma. RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images. Submitted to IEEE PAMI, 2010.
-
(2010)
IEEE PAMI
-
-
Peng, Y.1
Ganesh, A.2
Wright, J.3
Xu, W.4
Ma, Y.5
-
17
-
-
80054908164
-
-
UC Berkeley, Tech. Rep
-
A. Y. Yang, A. Ganesh, Z. H. Zhou, S. S. Sastry, and Y. Ma. Fast l1-minimization algorithms and application in robust face recognition, UC Berkeley, Tech. Rep.
-
Fast l1-Minimization Algorithms and Application in Robust Face Recognition
-
-
Yang, A.Y.1
Ganesh, A.2
Zhou, Z.H.3
Sastry, S.S.4
Ma, Y.5
-
19
-
-
85014561619
-
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
-
A. Beck and M. Teboulle. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM. J. Imaging Science, 2(1):183-202, 2009.
-
(2009)
SIAM. J. Imaging Science
, vol.2
, Issue.1
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
21
-
-
33646796359
-
Homotopy continuation for sparse signal representation
-
D. Malioutove, M. Cetin, and A. Willsky. Homotopy continuation for sparse signal representation. In ICASSP, 2005.
-
(2005)
ICASSP
-
-
Malioutove, D.1
Cetin, M.2
Willsky, A.3
-
22
-
-
39449109476
-
A interior-point method for large-scale l1-regularized least squares
-
S. J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky. A interior-point method for large-scale l1-regularized least squares. IEEE Journal on Selected Topics in Signal Processing, 1(4):606-617, 2007.
-
(2007)
IEEE Journal on Selected Topics in Signal Processing
, vol.1
, Issue.4
, pp. 606-617
-
-
Kim, S.J.1
Koh, K.2
Lustig, M.3
Boyd, S.4
Gorinevsky, D.5
-
23
-
-
0035363672
-
From few to many: Illumination cone models for face recognition under variable lighting and pose
-
A. Georghiades, P. Belhumeur, and D. Kriegman. From few to many: Illumination cone models for face recognition under variable lighting and pose. IEEE PAMI, 23(6):643-660, 2001.
-
(2001)
IEEE PAMI
, vol.23
, Issue.6
, pp. 643-660
-
-
Georghiades, A.1
Belhumeur, P.2
Kriegman, D.3
-
24
-
-
18144420071
-
Acquiring linear subspaces for face recognition under variable lighting
-
K. Lee, J. Ho, and D. Kriegman. Acquiring linear subspaces for face recognition under variable lighting. IEEE PAMI, 27(5):684-698, 2005.
-
(2005)
IEEE PAMI
, vol.27
, Issue.5
, pp. 684-698
-
-
Lee, K.1
Ho, J.2
Kriegman, D.3
-
26
-
-
76449115179
-
Multi-PIE
-
R. Gross, I. Matthews. J. Cohn, T. Kanade, and S. Baker. Multi-PIE. Image and Vision Computing, 28:807-813, 2010.
-
(2010)
Image and Vision Computing
, vol.28
, pp. 807-813
-
-
Gross, R.1
Matthews, I.2
Cohn, J.3
Kanade, T.4
Baker, S.5
-
27
-
-
78149282850
-
Linear regression for face recognition
-
I. Naseem, R. Togneri, and M. Bennamoun. Linear regression for face recognition. IEEE PAMI, 32(11):2106-2112, 2010.
-
(2010)
IEEE PAMI
, vol.32
, Issue.11
, pp. 2106-2112
-
-
Naseem, I.1
Togneri, R.2
Bennamoun, M.3
-
29
-
-
80052904079
-
Are sparse representations really relevant for image classification?
-
R. Rigamonti, M. Brown and V. Lepetit. Are Sparse Representations Really Relevant for Image Classification? In CVPR 2011.
-
(2011)
CVPR
-
-
Rigamonti, R.1
Brown, M.2
Lepetit, V.3
-
30
-
-
80052911858
-
Is face recognition really a compressive sensing problem?
-
Q. Shi, A. Eriksson, A. Hengel, C. Shen. Is face recognition really a compressive sensing problem? In CVPR 2011.
-
(2011)
CVPR
-
-
Shi, Q.1
Eriksson, A.2
Hengel, A.3
Shen, C.4
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