-
1
-
-
79551550744
-
NESTA: A fast and accurate first-order method for sparse recovery
-
4
-
S. Becker, J. Bobin, and E. Candes. NESTA: A fast and accurate first-order method for sparse recovery. SIAM J. On Imaging Sciences, 4(1):1-39, 2011. 4
-
(2011)
SIAM J. On Imaging Sciences
, vol.4
, Issue.1
, pp. 1-39
-
-
Becker, S.1
Bobin, J.2
Candes, E.3
-
2
-
-
84903135763
-
-
5, 6
-
Q. Chen, Z. Song, S. Liu, X. Chen, X.-T. Yuan, T.-S. Chua, S. Yan, Y. Hua, Z. Huang, and S. Shen. Boosting classification with exclusive context. http://pascallin. ecs.soton.ac.uk/challenges/VOC/voc2010/workshop/nuspsl.pdf. 5, 6
-
Boosting Classification with Exclusive Context
-
-
Chen, Q.1
Song, Z.2
Liu, S.3
Chen, X.4
Yuan, X.-T.5
Chua, T.-S.6
Yan, S.7
Hua, Y.8
Huang, Z.9
Shen, S.10
-
3
-
-
84455201572
-
Efficient large-scale image annotation by probabilistic collaborative multi-label propagation
-
1, 6
-
X. Chen, Y. Mu, S. Yan, and T.-S. Chua. Efficient large-scale image annotation by probabilistic collaborative multi-label propagation. In ACM MM, 2010. 1, 6
-
(2010)
ACM MM
-
-
Chen, X.1
Mu, Y.2
Yan, S.3
Chua, T.-S.4
-
4
-
-
77956006912
-
Exploiting hierarchical context on a large database of object categories
-
1
-
M. J. Choi, J. J. Lim, A. Torralba, and A. S. Willsky. Exploiting hierarchical context on a large database of object categories. In CVPR, 2010. 1
-
(2010)
CVPR
-
-
Choi, M.J.1
Lim, J.J.2
Torralba, A.3
Willsky, A.S.4
-
5
-
-
74049158146
-
NUS-WIDE: A real-world web image database from national university of singapore
-
3, 5
-
T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, and Y.-T. Zheng. NUS-WIDE: A real-world web image database from national university of singapore. In CIVR, 2009. 3, 5
-
(2009)
CIVR
-
-
Chua, T.-S.1
Tang, J.2
Hong, R.3
Li, H.4
Luo, Z.5
Zheng, Y.-T.6
-
6
-
-
77953180995
-
Discriminative models for multi-class object layout
-
1
-
C. Desai, D. Ramanan, and C. Fowlkes. Discriminative models for multi-class object layout. In ICCV, 2009. 1
-
(2009)
ICCV
-
-
Desai, C.1
Ramanan, D.2
Fowlkes, C.3
-
9
-
-
77951298115
-
The pascal visual object classes (VOC) challenge
-
5
-
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The pascal visual object classes (VOC) challenge. International Journal of Computer Vision, 88(2), 2010. 5
-
(2010)
International Journal of Computer Vision
, vol.88
, Issue.2
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.K.I.3
Winn, J.4
Zisserman, A.5
-
10
-
-
36749019495
-
Recovery algorithm for vectorvalued data with joint sparsity constraints
-
2
-
M. Fornasier and H. Rauhut. Recovery algorithm for vectorvalued data with joint sparsity constraints. SIAM Journal on Numerical Analysis, 46(2):577-613, 2008. 2
-
(2008)
SIAM Journal on Numerical Analysis
, vol.46
, Issue.2
, pp. 577-613
-
-
Fornasier, M.1
Rauhut, H.2
-
11
-
-
84864043341
-
Infinite latent feature models and the indian buffet process
-
1
-
T. Griffiths and Z. Ghahramani. Infinite latent feature models and the indian buffet process. In NIPS, 2005. 1
-
(2005)
NIPS
-
-
Griffiths, T.1
Ghahramani, Z.2
-
12
-
-
71149113559
-
Group lasso with overlap and graph lasso
-
2
-
L. Jacob, G. Obozinski, and J. Vert. Group lasso with overlap and graph lasso. In ICML, 2009. 2
-
(2009)
ICML
-
-
Jacob, L.1
Obozinski, G.2
Vert, J.3
-
14
-
-
73049107325
-
Sparsity and persistence: Mixed norms provide simple signals models with dependent coefficient
-
3
-
M. Kowalski and B. Torreesani. Sparsity and persistence: Mixed norms provide simple signals models with dependent coefficient. Signal, Image and Video Processing, 2008. 3
-
(2008)
Signal, Image and Video Processing
-
-
Kowalski, M.1
Torreesani, B.2
-
15
-
-
33845572523
-
Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
-
5
-
S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006. 5
-
(2006)
CVPR
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
16
-
-
71149111015
-
Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery
-
2
-
H. Liu, M. Palatucci, and J. Zhang. Blockwise coordinate descent procedures for the multi-task lasso, with applications to neural semantic basis discovery. In ICML, 2009. 2
-
(2009)
ICML
-
-
Liu, H.1
Palatucci, M.2
Zhang, J.3
-
17
-
-
77956514394
-
Robust graph mode seeking by graph shift
-
2, 3
-
H. Liu and S. Yan. Robust graph mode seeking by graph shift. In ICML, 2010. 2, 3
-
(2010)
ICML
-
-
Liu, H.1
Yan, S.2
-
18
-
-
17444406259
-
Smooth minimization of non-smooth functions
-
2, 4, 7
-
Y. Nesterov. Smooth minimization of non-smooth functions. Mathematical Programming, 103(1):127-152, 2005. 2, 4, 7
-
(2005)
Mathematical Programming
, vol.103
, Issue.1
, pp. 127-152
-
-
Nesterov, Y.1
-
19
-
-
77955426203
-
Evaluating color descriptors for object and scene recognition
-
5
-
K. Sande, T. Gevers, and C. Snoek. Evaluating color descriptors for object and scene recognition. TPAMI, 32(9):1582-1596, 2010. 5
-
(2010)
TPAMI
, vol.32
, Issue.9
, pp. 1582-1596
-
-
Sande, K.1
Gevers, T.2
Snoek, C.3
-
20
-
-
84858733268
-
Entropic graph regularization in non-parametric semi-supervised classification
-
6
-
A. Subramanya and J. Bilmes. Entropic graph regularization in non-parametric semi-supervised classification. In NIPS, 2009. 6
-
(2009)
NIPS
-
-
Subramanya, A.1
Bilmes, J.2
-
21
-
-
77955885915
-
Inferring semantic concepts from community-contributed images and noisy tags
-
2
-
J. Tang, S. Yan, R. Hong, G.-J. Qi, and T.-S. Chua. Inferring semantic concepts from community-contributed images and noisy tags. In ACM MM, 2009. 2
-
(2009)
ACM MM
-
-
Tang, J.1
Yan, S.2
Hong, R.3
Qi, G.-J.4
Chua, T.-S.5
-
22
-
-
70049111607
-
On accelerated proximal gradient methods for convex-concave optimization
-
submitted to 2, 4
-
P. Tseng. On accelerated proximal gradient methods for convex-concave optimization. submitted to SIAM Journal of Optimization, 2008. 2, 4
-
(2008)
SIAM Journal of Optimization
-
-
Tseng, P.1
-
23
-
-
84958141402
-
Parametric mixture models for multilabeled text
-
1
-
N. Ueda and K. Saito. Parametric mixture models for multilabeled text. In NIPS, 2002. 1
-
(2002)
NIPS
-
-
Ueda, N.1
Saito, K.2
-
24
-
-
77955996870
-
Locality-constrained linear coding for image classification
-
5
-
J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Locality-constrained linear coding for image classification. In CVPR, 2010. 5
-
(2010)
CVPR
-
-
Wang, J.1
Yang, J.2
Yu, K.3
Lv, F.4
Huang, T.5
Gong, Y.6
-
25
-
-
67249090373
-
Unified video annotation via multi-graph learning
-
2
-
M.Wang, X.-S. Hua, R. Hong, J. Tang, G.-J. Qi, and Y. Song. Unified video annotation via multi-graph learning. IEEE Transactions on Circuits and Systems for Video Technology, 19(5):733-746, 2009. 2
-
(2009)
IEEE Transactions on Circuits and Systems for Video Technology
, vol.19
, Issue.5
, pp. 733-746
-
-
Wang, M.1
Hua, X.-S.2
Hong, R.3
Tang, J.4
Qi, G.-J.5
Song, Y.6
-
26
-
-
63049138297
-
Beyond distance measurement: Constructing neighborhood similarity for video annotation
-
2
-
M. Wang, X.-S. Hua, J. Tang, and R. Hong. Beyond distance measurement: Constructing neighborhood similarity for video annotation. IEEE Transactions on Multimedia, 11(3):465-476, 2009. 2
-
(2009)
IEEE Transactions on Multimedia
, vol.11
, Issue.3
, pp. 465-476
-
-
Wang, M.1
Hua, X.-S.2
Tang, J.3
Hong, R.4
-
27
-
-
61549128441
-
Robust face recognition via sparse representation
-
2
-
J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma. Robust face recognition via sparse representation. TPAMI, 31(2):210-226, 2009. 2
-
(2009)
TPAMI
, vol.31
, Issue.2
, pp. 210-226
-
-
Wright, J.1
Yang, A.2
Ganesh, A.3
Sastry, S.4
Ma, Y.5
-
28
-
-
72749110068
-
Semi-supervised learning by sparse representation
-
2
-
S. Yan and H. Wang. Semi-supervised learning by sparse representation. In SDM, 2009. 2
-
(2009)
SDM
-
-
Yan, S.1
Wang, H.2
-
29
-
-
33645035051
-
Model selection and estimation in regression with grouped variables
-
2, 3
-
M. Yuan and Y. Lin. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society, Series B, 68(1):49-67, 2006. 2, 3
-
(2006)
Journal of the Royal Statistical Society, Series B
, vol.68
, Issue.1
, pp. 49-67
-
-
Yuan, M.1
Lin, Y.2
-
30
-
-
77955986472
-
Visual classification with multi-task joint sparse representation
-
2
-
X.-T. Yuan and S. Yan. Visual classification with multi-task joint sparse representation. In CVPR, 2010. 2
-
(2010)
CVPR
-
-
Yuan, X.-T.1
Yan, S.2
-
32
-
-
69949155103
-
The composite absolute penalties family for grouped and hierarchical variable selection
-
2
-
P. Zhao, G. Rocha, and B. Yu. The composite absolute penalties family for grouped and hierarchical variable selection. The Annals of Statistics, 37(6A):3468-3497, 2009. 2
-
(2009)
The Annals of Statistics
, vol.37
, Issue.6 A
, pp. 3468-3497
-
-
Zhao, P.1
Rocha, G.2
Yu, B.3
-
33
-
-
80052886214
-
Image classification using super-vector coding of local image descriptors
-
5
-
X. Zhou, K. Yu, T. Zhang, and T. Huang. Image classification using super-vector coding of local image descriptors. In ECCV, 2010. 5
-
(2010)
ECCV
-
-
Zhou, X.1
Yu, K.2
Zhang, T.3
Huang, T.4
-
34
-
-
80052135935
-
Exclusive lasso for multi-task feature selection
-
2, 3
-
Y. Zhou, R. Jin, and S. C. Hoi. Exclusive lasso for multi-task feature selection. In AISTATS, 2010. 2, 3
-
(2010)
AISTATS
-
-
Zhou, Y.1
Jin, R.2
Hoi, S.C.3
-
35
-
-
84885572482
-
Multi-labelled classification using maximum entropy method
-
1
-
S. Zhu, X. Ji, W. Xu, and Y. Gong. Multi-labelled classification using maximum entropy method. In ACM SIGIR, 2005. 1
-
(2005)
ACM SIGIR
-
-
Zhu, S.1
Ji, X.2
Xu, W.3
Gong, Y.4
|