-
1
-
-
84863899797
-
Sparse Bayesian methods for low-rank matrix estimation
-
Aug.
-
D. Babacan, M. Luessi, R. Molina, and A. K. Katsaggelos, "Sparse Bayesian methods for low-rank matrix estimation," IEEE Trans. Signal Process., vol. 60, no. 8, pp. 3964-3977, Aug. 2012.
-
(2012)
IEEE Trans. Signal Process.
, vol.60
, Issue.8
, pp. 3964-3977
-
-
Babacan, D.1
Luessi, M.2
Molina, R.3
Katsaggelos, A.K.4
-
2
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation," Neural Comput., vol. 15, pp. 1373-1396, 2003.
-
(2003)
Neural Comput.
, vol.15
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
3
-
-
0043278893
-
Laplacian eigenmaps and spectral techniques for embedding and clustering
-
M. Belkin and P. Niyogi, "Laplacian eigenmaps and spectral techniques for embedding and clustering," in Proc. Adv. Neural Inf. Process. Syst., 2001, vol. 14, pp. 585-591.
-
(2001)
Proc. Adv. Neural Inf. Process. Syst.
, vol.14
, pp. 585-591
-
-
Belkin, M.1
Niyogi, P.2
-
5
-
-
49749131620
-
Spectral regression: A unified approach for sparse subspace learning
-
D. Cai, X. He, and J. Han, "Spectral regression: A unified approach for sparse subspace learning," in Proc. IEEE Int. Conf. Data Mining, 2007, pp. 73-82.
-
(2007)
Proc. IEEE Int. Conf. Data Mining
, pp. 73-82
-
-
Cai, D.1
He, X.2
Han, J.3
-
6
-
-
79959532395
-
Graph regularized nonnegative matrix factorization for data representation
-
Aug.
-
D. Cai, X. He, J. Han, and T. S. Huang, "Graph regularized nonnegative matrix factorization for data representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 8, pp. 1548-1560, Aug. 2011.
-
(2011)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.33
, Issue.8
, pp. 1548-1560
-
-
Cai, D.1
He, X.2
Han, J.3
Huang, T.S.4
-
7
-
-
78751697032
-
Locality preserving nonnegative matrix factorization
-
D. Cai, X. He, X. Wang, H. Bao, and J. Han, "Locality preserving nonnegative matrix factorization," in Proc. Int. Joint Conf. Artif. Intell., 2009, pp. 1010-1015.
-
(2009)
Proc. Int. Joint Conf. Artif. Intell.
, pp. 1010-1015
-
-
Cai, D.1
He, X.2
Wang, X.3
Bao, H.4
Han, J.5
-
8
-
-
77951291046
-
A singular value thresholding algorithm for matrix completion
-
J. F. Cai, E. J. Candes, and Z. Shen, "A singular value thresholding algorithm for matrix completion," SIAM J. Optimization, vol. 20, no. 4, pp. 1956-1982, 2008.
-
(2008)
SIAM J. Optimization
, vol.20
, Issue.4
, pp. 1956-1982
-
-
Cai, J.F.1
Candes, E.J.2
Shen, Z.3
-
9
-
-
71049116435
-
Exact matrix completion via convex optimization
-
E. Candes and B. Recht, "Exact matrix completion via convex optimization," Found. Comput. Math., vol. 9, pp. 717-772, 2008.
-
(2008)
Found. Comput. Math.
, vol.9
, pp. 717-772
-
-
Candes, E.1
Recht, B.2
-
10
-
-
79960675858
-
Robust principal component analysis
-
E. Candes, X. Li, Y. Ma, and J. Wright, "Robust principal component analysis" J. ACM, vol. 58, article 11: 1-37, 2011.
-
(2011)
J. ACM
, vol.58
, pp. 1-37
-
-
Candes, E.1
Li, X.2
Ma, Y.3
Wright, J.4
-
11
-
-
84866719546
-
Low-rank matrix recovery with structural incoherence for robust face recognition
-
C.-F. Chen, C.-P. Wei, and Y.-C. F. Wang, "Low-rank matrix recovery with structural incoherence for robust face recognition," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2012, pp. 2618-2625.
-
(2012)
Proc. IEEE Conf. Comput. Vis. Pattern Recog.
, pp. 2618-2625
-
-
Chen, C.-F.1
Wei, C.-P.2
Wang, Y.-C.F.3
-
12
-
-
0035273106
-
Atomic decomposition by basis pursuit
-
Jan.
-
S. S. Chen, D. L. Donoho, and M. A. Saunders, "Atomic decomposition by basis pursuit," SIAM Rev., vol. 43, no. 1, pp. 129-159, Jan. 2001.
-
(2001)
SIAM Rev.
, vol.43
, Issue.1
, pp. 129-159
-
-
Chen, S.S.1
Donoho, D.L.2
Saunders, M.A.3
-
13
-
-
77949722130
-
Learning with '1-graph for image analysis
-
Apr.
-
B. Cheng, J. Yang, S. Yan, Y. Fu, and T. S. Huang, "Learning with '1-graph for image analysis," IEEE Trans. Image Process., vol. 19, no. 4, pp. 858-866, Apr. 2010.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.4
, pp. 858-866
-
-
Cheng, B.1
Yang, J.2
Yan, S.3
Fu, Y.4
Huang, T.S.5
-
16
-
-
33645712892
-
Compressed sensing
-
Apr.
-
D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.4
, pp. 1289-1306
-
-
Donoho, D.L.1
-
17
-
-
38349073064
-
Robust '1 principal component analysis and its Bayesian variational inference
-
J. Gao, "Robust '1 principal component analysis and its Bayesian variational inference," Neural Comput., vol. 20, no. 2. pp. 555-572, 2008.
-
(2008)
Neural Comput.
, vol.20
, Issue.2
, pp. 555-572
-
-
Gao, J.1
-
18
-
-
84870191664
-
Laplacian sparse coding, hypergraph Laplacian sparse coding, and applications
-
Jan.
-
S. Gao, I. W.-H. Tsang, and L.-T. Chia, "Laplacian sparse coding, hypergraph Laplacian sparse coding, and applications," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 1, pp. 92-104, Jan. 2013.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.1
, pp. 92-104
-
-
Gao, S.1
Tsang, I.W.-H.2
Chia, L.-T.3
-
19
-
-
33845594569
-
Dimensionality reduction by learning an invariant mapping
-
R. Hadsell, S. Chopra, and Y. Lecun, "Dimensionality reduction by learning an invariant mapping," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recog., 2006, pp. 1735-1742.
-
(2006)
Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recog.
, pp. 1735-1742
-
-
Hadsell, R.1
Chopra, S.2
Lecun, Y.3
-
20
-
-
79960917469
-
Laplacian regularized Gaussian mixture model for data clustering
-
Sep.
-
X. He, D. Cai, Y. Shao, H. Bao, and J. Han, "Laplacian regularized Gaussian mixture model for data clustering," IEEE Trans. Knowl. Data Eng., vol. 23, no. 9, pp. 1406-1418, Sep. 2011.
-
(2011)
IEEE Trans. Knowl. Data Eng.
, vol.23
, Issue.9
, pp. 1406-1418
-
-
He, X.1
Cai, D.2
Shao, Y.3
Bao, H.4
Han, J.5
-
21
-
-
33745881038
-
Neighborhood preserving embedding
-
X. He, D. Cai, S. Yan, and H.-J. Zhang, "Neighborhood preserving embedding," in Proc. IEEE 10th Int. Conf. Comput. Vis., 2005, pp. 1208-1213.
-
(2005)
Proc. IEEE 10th Int. Conf. Comput. Vis.
, pp. 1208-1213
-
-
He, X.1
Cai, D.2
Yan, S.3
Zhang, H.-J.4
-
22
-
-
15044358511
-
Face recognition using Laplacianfaces
-
Mar.
-
X. He, S. Yan, Y. Hu, P. Niyogi, and H. J. Zhang, "Face recognition using Laplacianfaces," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 3, pp. 328-340, Mar. 2005.
-
(2005)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.27
, Issue.3
, pp. 328-340
-
-
He, X.1
Yan, S.2
Hu, Y.3
Niyogi, P.4
Zhang, H.J.5
-
23
-
-
71149103464
-
An accelerated gradient method for trace norm minimization
-
S. Ji and J. Ye, "An accelerated gradient method for trace norm minimization," in Proc. 26th Annu. Int. Conf. Mach. Learn., 2009, pp. 457-464.
-
(2009)
Proc. 26th Annu. Int. Conf. Mach. Learn.
, pp. 457-464
-
-
Ji, S.1
Ye, J.2
-
25
-
-
67349093319
-
Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method
-
H. Kim and H. Park, "Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method," SIAM J. Matrix Analy. Appl., vol. 30, no. 2, pp. 713-730, 2008.
-
(2008)
SIAM J. Matrix Analy. Appl.
, vol.30
, Issue.2
, pp. 713-730
-
-
Kim, H.1
Park, H.2
-
27
-
-
77955690054
-
-
UIUC, Champaign, IL, USA, Tech. Rep. UILU-ENG-09-2215
-
Z. Lin, M. Chen, and Y. Ma, "The augmented Lagrange multiplier method for exact recovery of corrupted low-rank matrices," UIUC, Champaign, IL, USA, Tech. Rep. UILU-ENG-09-2215, 2009.
-
(2009)
The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-rank Matrices
-
-
Lin, Z.1
Chen, M.2
Ma, Y.3
-
28
-
-
77951134100
-
-
UIUC, Champaign, IL, USA, Tech. Rep. UILUENG-09-2214, Jul.
-
Z. Lin, A. Ganesh, J. Wright, L. Wu, M. Chen, and Y. Ma, "Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrix," UIUC, Champaign, IL, USA, Tech. Rep. UILUENG-09-2214, Jul. 2009.
-
(2009)
Fast Convex Optimization Algorithms for Exact Recovery of A Corrupted Low-rank Matrix
-
-
Lin, Z.1
Ganesh, A.2
Wright, J.3
Wu, L.4
Chen, M.5
Ma, Y.6
-
29
-
-
85162350693
-
Linearized alternating direction method with adaptive penalty for low-rank representation
-
Z. Lin, R. Liu, and Z. Su, "Linearized alternating direction method with adaptive penalty for low-rank representation," in Proc. Adv. Neural Inf. Process. Syst., 2011, pp. 612-620.
-
(2011)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 612-620
-
-
Lin, Z.1
Liu, R.2
Su, Z.3
-
30
-
-
84870197517
-
Robust recovery of subspace structures by low-rank representation
-
Jan.
-
G. Liu, Z. Lin, S. Yan, J. Sun, and Y. Ma, "Robust recovery of subspace structures by low-rank representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 1, pp. 171-184, Jan. 2013.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.1
, pp. 171-184
-
-
Liu, G.1
Lin, Z.2
Yan, S.3
Sun, J.4
Ma, Y.5
-
31
-
-
77956529193
-
Robust subspace segmentation by lowrank representation
-
G. Liu, Z. Lin, and Y. Yu, "Robust subspace segmentation by lowrank representation," in Proc. Int. Conf. Mach. Learn., 2010, pp. 663-670.
-
(2010)
Proc. Int. Conf. Mach. Learn.
, pp. 663-670
-
-
Liu, G.1
Lin, Z.2
Yu, Y.3
-
32
-
-
84954519713
-
Exact subspace segmentation and outlier detection by low-rank representation
-
G. Liu, H. Xu, and S. Yan, "Exact subspace segmentation and outlier detection by low-rank representation," in Proc. 15th Int. Conf. Artif. Intell. Stat., 2012, pp. 703-711.
-
(2012)
Proc. 15th Int. Conf. Artif. Intell. Stat.
, pp. 703-711
-
-
Liu, G.1
Xu, H.2
Yan, S.3
-
33
-
-
84863042818
-
Latent low-rank representation for subspace segmentation and feature extraction
-
G. Liu and S. Yan, "Latent low-rank representation for subspace segmentation and feature extraction," in Proc. IEEE Int. Conf. Comput. Vis., 2011, pp. 1615-1622.
-
(2011)
Proc. IEEE Int. Conf. Comput. Vis.
, pp. 1615-1622
-
-
Liu, G.1
Yan, S.2
-
34
-
-
84908476631
-
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning
-
R. Liu, Z. Lin, and Z. Su, "Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning," J. Mach. Learning Res., vol. 29, pp. 1-16, 2013.
-
(2013)
J. Mach. Learning Res.
, vol.29
, pp. 1-16
-
-
Liu, R.1
Lin, Z.2
Su, Z.3
-
35
-
-
84880066314
-
Graph-regularized low-rank representation for destriping of hyperspectral images
-
Jul.
-
X. Lu, Y. Wang, and Y. Yuan, "Graph-regularized low-rank representation for destriping of hyperspectral images," IEEE Trans. Geosci. Remote Sensing, vol. 51, no. 7, pp. 4009-4018, Jul. 2013.
-
(2013)
IEEE Trans. Geosci. Remote Sensing
, vol.51
, Issue.7
, pp. 4009-4018
-
-
Lu, X.1
Wang, Y.2
Yuan, Y.3
-
37
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, pp. 2323-2326, 2000.
-
(2000)
Science
, vol.290
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
38
-
-
0034244751
-
Normalized cuts and image segmentation
-
Aug.
-
J. Shi and J. Malik, "Normalized cuts and image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 888-905, Aug. 2000.
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.22
, Issue.8
, pp. 888-905
-
-
Shi, J.1
Malik, J.2
-
39
-
-
79957510064
-
Recovering low-rank and sparse components of matrices from incomplete and noisy observations
-
M. Tao and X. Yuan, "Recovering low-rank and sparse components of matrices from incomplete and noisy observations," SIAM J. Optimization, vol. 21, no. 2. pp. 57-81, 2011.
-
(2011)
SIAM J. Optimization
, vol.21
, Issue.2
, pp. 57-81
-
-
Tao, M.1
Yuan, X.2
-
40
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
J. B. Tenenbaum, V. d. Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, pp. 2319-2323, 2000.
-
(2000)
Science
, vol.290
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
Silva, D.V.2
Langford, J.C.3
-
41
-
-
78049448383
-
An accelerated proximal gradient algorithms for nuclear norm regularized least squares problems
-
K. Toh and S. Yun, "An accelerated proximal gradient algorithms for nuclear norm regularized least squares problems," Pacific J. Optimization, vol. 6, pp. 615-640, 2010.
-
(2010)
Pacific J. Optimization
, vol.6
, pp. 615-640
-
-
Toh, K.1
Yun, S.2
-
42
-
-
67650998686
-
Linear neighborhood propagation and its applications
-
Sep.
-
J. Wang, F. Wang, C. Zhang, H. C. Shen, and L. Quan, "Linear neighborhood propagation and its applications," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 9, pp. 1600-1615, Sep. 2009.
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, Issue.9
, pp. 1600-1615
-
-
Wang, J.1
Wang, F.2
Zhang, C.3
Shen, H.C.4
Quan, L.5
-
43
-
-
79952297247
-
Alternating direction augmented Lagrangian methods for semidefinite programming
-
Z. Wen, D. Goldfarb, and W. Yin, "Alternating direction augmented Lagrangian methods for semidefinite programming," Math. Program. Comput., vol. 2, pp. 203-230, 2010.
-
(2010)
Math. Program. Comput.
, vol.2
, pp. 203-230
-
-
Wen, Z.1
Goldfarb, D.2
Yin, W.3
-
44
-
-
84863367863
-
Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization
-
J. Wright, A. Ganesh, S. Rao, and Y. Ma, "Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization," in Proc. Adv. Neural Inf. Process. Syst., 2009, pp. 2080-2088.
-
(2009)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 2080-2088
-
-
Wright, J.1
Ganesh, A.2
Rao, S.3
Ma, Y.4
-
45
-
-
77952717202
-
Sparse representation for computer vision and pattern recognition
-
Jun.
-
J. Wright, Y. Ma, J. Mairal, G. Sapiro, T. Huang, and S. Yan, "Sparse representation for computer vision and pattern recognition," Proc. IEEE, vol. 98, no. 6, pp. 1031-1044, Jun. 2010.
-
(2010)
Proc. IEEE
, 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
-
46
-
-
84962060544
-
Convex optimization based low-rank matrix completion and recovery for photometric stereo and factor classification
-
Aug.
-
L. Wu, A. Ganesh, B. Shi, Y. Matsushita, Y. Wang, and Y. Ma, "Convex optimization based low-rank matrix completion and recovery for photometric stereo and factor classification," submitted to IEEE Trans. Pattern Anal. Mach. Intell., Aug. 2012.
-
(2012)
Submitted to IEEE Trans. Pattern Anal. Mach. Intell
-
-
Wu, L.1
Ganesh, A.2
Shi, B.3
Matsushita, Y.4
Wang, Y.5
Ma, Y.6
-
47
-
-
33947194180
-
Graph embedding and extensions: A general framework for dimensionality reduction
-
Jan.
-
S. Yan, D. Xu, B. Zhang, H.-J. Zhang, Q. Yang, and S. Lin, "Graph embedding and extensions: A general framework for dimensionality reduction," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 1. pp. 40-51, Jan. 2007.
-
(2007)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.29
, Issue.1
, pp. 40-51
-
-
Yan, S.1
Xu, D.2
Zhang, B.3
Zhang, H.-J.4
Yang, Q.5
Lin, S.6
-
48
-
-
84893353470
-
Semi-supervised low-rank representation graph for pattern recognition
-
Mar.
-
S. Yang, X. Wang, M. Wang, Y. Han, and L. Jiao, "Semi-supervised low-rank representation graph for pattern recognition," IET Image Process., vol. 7, no. 2. pp. 131-136, Mar. 2013.
-
(2013)
IET Image Process.
, vol.7
, Issue.2
, pp. 131-136
-
-
Yang, S.1
Wang, X.2
Wang, M.3
Han, Y.4
Jiao, L.5
-
49
-
-
84897753122
-
Robust face recognition via double low-rank matrix recovery for feature extraction
-
M. Yin, S. Cai, and J. Gao, "Robust face recognition via double low-rank matrix recovery for feature extraction," in Proc. IEEE Int. Conf. Image Process., 2013, pp. 3770-3774.
-
(2013)
Proc. IEEE Int. Conf. Image Process.
, pp. 3770-3774
-
-
Yin, M.1
Cai, S.2
Gao, J.3
-
50
-
-
79952522262
-
Tilt: Transform invariant low-rank textures
-
Z. Zhang, X. Liang, A. Ganesh, and Y. Ma, "Tilt: Transform invariant low-rank textures," in Proc. 10th Asian Conf. Comput. Vis., 2010, pp. 314-328.
-
(2010)
Proc. 10th Asian Conf. Comput. Vis.
, pp. 314-328
-
-
Zhang, Z.1
Liang, X.2
Ganesh, A.3
Ma, Y.4
-
51
-
-
84878141722
-
Low-rank matrix approximation with manifold regularization
-
Jul.
-
Z. Zhang and K. Zhao, "Low-rank matrix approximation with manifold regularization," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 7, pp. 1717-1729, Jul. 2013.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.7
, pp. 1717-1729
-
-
Zhang, Z.1
Zhao, K.2
-
52
-
-
79955371363
-
Graph regularized sparse coding for image representation
-
May
-
M. Zheng, J. Bu, C. Chen, C. Wang, L. Zhang, G. Qiu, and D. Cai, "Graph regularized sparse coding for image representation," IEEE Trans. Image Process., vol. 20, no. 5, pp. 1327-1336, May 2011.
-
(2011)
IEEE Trans. Image Process.
, vol.20
, Issue.5
, pp. 1327-1336
-
-
Zheng, M.1
Bu, J.2
Chen, C.3
Wang, C.4
Zhang, L.5
Qiu, G.6
Cai, D.7
-
53
-
-
84884202455
-
Low-rank representation with local constraint for graph construction
-
Y. Zheng, X. Zhang, S. Yang, and L. Jiao, "Low-rank representation with local constraint for graph construction," Neurocomputing, vol. 122, pp. 398-405, 2013.
-
(2013)
Neurocomputing
, vol.122
, pp. 398-405
-
-
Zheng, Y.1
Zhang, X.2
Yang, S.3
Jiao, L.4
-
54
-
-
84864027458
-
Learning with hypergraphs: Clustering, classification, and embedding
-
D. Zhou, J. Huang, and B. Scholkopf, "Learning with hypergraphs: Clustering, classification, and embedding," in Proc. Adv. Neural Inf. Process. Syst., 2006, pp. 1601-1608.
-
(2006)
Proc. Adv. Neural Inf. Process. Syst.
, pp. 1601-1608
-
-
Zhou, D.1
Huang, J.2
Scholkopf, B.3
-
55
-
-
1942484430
-
Semi-supervised learning using Gaussian fields and harmonic functions
-
X. Zhu, Z. Ghahramani, and J. Lafferty, "Semi-supervised learning using Gaussian fields and harmonic functions," in Proc. Proc. Int. Conf. Mach. Learn., 2003, pp. 912-919.
-
(2003)
Proc. Proc. Int. Conf. Mach. Learn.
, pp. 912-919
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
-
56
-
-
84866660023
-
Non-negative low rank and sparse graph for semi-supervised learning
-
L. Zhuang, H. Gao, Z. Lin, Y. Ma, X. Zhang, and N. Yu, "Non-negative low rank and sparse graph for semi-supervised learning," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2012, pp. 2328-2335.
-
(2012)
Proc. IEEE Conf. Comput. Vis. Pattern Recog.
, pp. 2328-2335
-
-
Zhuang, L.1
Gao, H.2
Lin, Z.3
Ma, Y.4
Zhang, X.5
Yu, N.6
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