-
1
-
-
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 Journal on Imaging Sciences, 2(1):183-202, 2009.
-
(2009)
SIAM Journal on Imaging Sciences
, vol.2
, Issue.1
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
2
-
-
77953184874
-
Heterogeneous feature machines for visual recognition
-
IEEE
-
L. Cao, J. Luo, F. Liang, and T. Huang. Heterogeneous feature machines for visual recognition. In ICCV, pages 1095-1102. IEEE, 2009.
-
(2009)
ICCV
, pp. 1095-1102
-
-
Cao, L.1
Luo, J.2
Liang, F.3
Huang, T.4
-
3
-
-
84860644332
-
-
Arxiv preprint arXiv:1005, 4717
-
X. Chen, Q. Lin, S. Kim, J. Carbonell, and E. Xing. An Efficient Proximal Gradient Method for General Structured Sparse Learning. Arxiv preprint arXiv:1005.4717, 2010.
-
(2010)
An Efficient Proximal Gradient Method for General Structured Sparse Learning
-
-
Chen, X.1
Lin, Q.2
Kim, S.3
Carbonell, J.4
Xing, E.5
-
4
-
-
69549118313
-
Unsupervised learning of probabilistic object models (POMS) for object classification, segmentation, and recognition using knowledge propagation
-
Y. Chen, L. Zhu, A. Yuille, and H. Zhang. Unsupervised learning of probabilistic object models (poms) for object classification, segmentation, and recognition using knowledge propagation. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1747-1761, 2009.
-
(2009)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, pp. 1747-1761
-
-
Chen, Y.1
Zhu, L.2
Yuille, A.3
Zhang, H.4
-
5
-
-
77649188328
-
The segmented and annotated IAPR TC-12 benchmark
-
H. Escalante, C. Hernández, J. Gonzalez, A. López- López, M. Montes, E. Morales, L. Enrique Sucar, L. Villaseñor, and M. Grubinger. The segmented and annotated IAPR TC-12 benchmark. Computer Vision and Image Understanding, 114(4):419-428, 2010.
-
(2010)
Computer Vision and Image Understanding
, vol.114
, Issue.4
, pp. 419-428
-
-
Escalante, H.1
Hernández, C.2
Gonzalez, J.3
López-López, A.4
Montes, M.5
Morales, E.6
Enrique Sucar, L.7
Villaseñor, L.8
Grubinger, M.9
-
6
-
-
13444267387
-
Multi-level annotation of natural scenes using dominant image components and semantic concepts
-
ACM
-
J. Fan, Y. Gao, and H. Luo. Multi-level annotation of natural scenes using dominant image components and semantic concepts. In ACM Multimedia, pages 540-547. ACM, 2004.
-
(2004)
ACM Multimedia
, pp. 540-547
-
-
Fan, J.1
Gao, Y.2
Luo, H.3
-
8
-
-
78650982503
-
Unified tag analysis with multi-edge graph
-
ACM
-
D. Liu, S. Yan, Y. Rui, and H. Zhang. Unified tag analysis with multi-edge graph. In ACM Multimedia, pages 25-34. ACM, 2010.
-
(2010)
ACM Multimedia
, pp. 25-34
-
-
Liu, D.1
Yan, S.2
Rui, Y.3
Zhang, H.4
-
9
-
-
72449136725
-
Label to region by bi-layer sparsity priors
-
ACM
-
X. Liu, B. Cheng, S. Yan, J. Tang, T. Chua, and H. Jin. Label to region by bi-layer sparsity priors. In ACM Multimedia, pages 115-124. ACM, 2009.
-
(2009)
ACM Multimedia
, pp. 115-124
-
-
Liu, X.1
Cheng, B.2
Yan, S.3
Tang, J.4
Chua, T.5
Jin, H.6
-
10
-
-
84866650928
-
A hybrid framework for detecting the semantics of concepts and context
-
M. Naphade and J. Smith. A hybrid framework for detecting the semantics of concepts and context. Image and Video Retrieval, pages 295-300, 2003.
-
(2003)
Image and Video Retrieval
, pp. 295-300
-
-
Naphade, M.1
Smith, J.2
-
11
-
-
51949094374
-
Transfer learning for image classification with sparse prototype representations
-
IEEE
-
A. Quattoni, M. Collins, and T. Darrell. Transfer learning for image classification with sparse prototype representations. In CVPR, pages 1-8. IEEE, 2008.
-
(2008)
CVPR
, pp. 1-8
-
-
Quattoni, A.1
Collins, M.2
Darrell, T.3
-
12
-
-
50649096757
-
Objects in context
-
IEEE
-
A. Rabinovich, A. Vedaldi, C. Galleguillos, E. Wiewiora, and S. Belongie. Objects in context. In ICCV, pages 1-8. IEEE, 2007.
-
(2007)
ICCV
, pp. 1-8
-
-
Rabinovich, A.1
Vedaldi, A.2
Galleguillos, C.3
Wiewiora, E.4
Belongie, S.5
-
13
-
-
58149151266
-
Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
-
J. Shotton, J.Winn, C. Rother, and A. Criminisi. Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context. International Journal of Computer Vision, 81(1):2-23, 2009.
-
(2009)
International Journal of Computer Vision
, vol.81
, Issue.1
, pp. 2-23
-
-
Shotton, J.1
Winn, J.2
Rother, C.3
Criminisi, A.4
-
14
-
-
18344412139
-
Probabilistic spatial context models for scene content understanding
-
IEEE
-
A. Singhal, J. Luo, and W. Zhu. Probabilistic spatial context models for scene content understanding. In CVPR, volume 1, pages 235-241. IEEE, 2003.
-
(2003)
CVPR
, vol.1
, pp. 235-241
-
-
Singhal, A.1
Luo, J.2
Zhu, W.3
-
16
-
-
51949119486
-
Auto-context and its application to high-level vision tasks
-
IEEE
-
Z. Tu. Auto-context and its application to high-level vision tasks. In CVPR, pages 1-8. IEEE, 2008.
-
(2008)
CVPR
, pp. 1-8
-
-
Tu, Z.1
-
17
-
-
67249090373
-
Unified video annotation via multigraph learning
-
M. Wang, X. Hua, R. Hong, J. Tang, G. Qi, and Y. Song. Unified video annotation via multigraph learning. Circuits and Systems for Video Technology, IEEE Transactions on, 19(5):733-746, 2009.
-
(2009)
Circuits and Systems for Video Technology, IEEE Transactions on
, vol.19
, Issue.5
, pp. 733-746
-
-
Wang, M.1
Hua, X.2
Hong, R.3
Tang, J.4
Qi, G.5
Song, Y.6
-
18
-
-
61549128441
-
Robust face recognition via sparse representation
-
J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma. Robust face recognition via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 210-227, 2008.
-
(2008)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, pp. 210-227
-
-
Wright, J.1
Yang, A.2
Ganesh, A.3
Sastry, S.4
Ma, Y.5
-
19
-
-
78650979494
-
Multi-label boosting for image annotation by structural grouping sparsity
-
ACM
-
F.Wu, Y. Han, Q. Tian, and Y. Zhuang. Multi-label boosting for image annotation by structural grouping sparsity. In ACM Multimedia, pages 15-24. ACM, 2010.
-
(2010)
ACM Multimedia
, pp. 15-24
-
-
Wu, F.1
Han, Y.2
Tian, Q.3
Zhuang, Y.4
-
20
-
-
33845562302
-
Region-based image annotation using asymmetrical support vector machine-based multi-instance learning
-
IEEE
-
C. Yang and M. Dong. Region-based image annotation using asymmetrical support vector machine-based multi-instance learning. In CVPR. IEEE, 2006.
-
(2006)
CVPR
-
-
Yang, C.1
Dong, M.2
-
21
-
-
80052904929
-
Tag localization with spatial correlations and joint group sparsity
-
IEEE
-
Y. Yang, Y. Yang, Z. Huang, H. Shen, and F. Nie. Tag Localization with Spatial Correlations and Joint Group Sparsity. In CVPR. IEEE, 2011.
-
(2011)
CVPR
-
-
Yang, Y.1
Yang, Y.2
Huang, Z.3
Shen, H.4
Nie, F.5
-
23
-
-
77955998281
-
Automatic image annotation using group sparsity
-
IEEE
-
S. Zhang, J. Huang, Y. Huang, Y. Yu, H. Li, and D. Metaxas. Automatic image annotation using group sparsity. In CVPR, pages 3312-3319. IEEE, 2010.
-
(2010)
CVPR
, pp. 3312-3319
-
-
Zhang, S.1
Huang, J.2
Huang, Y.3
Yu, Y.4
Li, H.5
Metaxas, D.6
|