-
1
-
-
84959201191
-
Feature-independent context estimation for automatic image annotation
-
A. Tariq and H. Foroosh, "Feature-independent context estimation for automatic image annotation," in Proc. CVPR, 2015, pp. 1958-1965.
-
(2015)
Proc. CVPR
, pp. 1958-1965
-
-
Tariq, A.1
Foroosh, H.2
-
2
-
-
84908153711
-
Fast image tagging
-
M. Chen, A. Zheng, and K. Q. Weinberger, "Fast image tagging," in Proc. ICML, 2013, pp. 1274-1282.
-
(2013)
Proc. ICML
, pp. 1274-1282
-
-
Chen, M.1
Zheng, A.2
Weinberger, K.Q.3
-
3
-
-
77953202699
-
TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation
-
M. Guillaumin, T. Mensink, J. Verbeek, and C. Schmid, "TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation," in Proc. ICCV, 2009, pp. 309-316.
-
(2009)
Proc. ICCV
, pp. 309-316
-
-
Guillaumin, M.1
Mensink, T.2
Verbeek, J.3
Schmid, C.4
-
4
-
-
84959233699
-
Optimal graph learning with partial tags and multiple features for image and video annotation
-
Jun
-
L. Gao, J. Song, F. Nie, Y. Yan, N. Sebe, and H. T. Shen, "Optimal graph learning with partial tags and multiple features for image and video annotation," in Proc. CVPR, Jun. 2015, pp. 4371-4379.
-
(2015)
Proc. CVPR
, pp. 4371-4379
-
-
Gao, L.1
Song, J.2
Nie, F.3
Yan, Y.4
Sebe, N.5
Shen, H.T.6
-
5
-
-
77949722130
-
Learning with l1- graph for image analysis
-
Apr
-
B. Cheng, J. Yang, S. Yan, Y. Fu, and T. S. Huang, "Learning with l1- 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
-
6
-
-
56449085512
-
Graph transduction via alternating minimization
-
J. Wang, T. Jebara, and S.-F. Chang, "Graph transduction via alternating minimization," in Proc. ICML, 2008, pp. 1144-1151.
-
(2008)
Proc. ICML
, pp. 1144-1151
-
-
Wang, J.1
Jebara, T.2
Chang, S.-F.3
-
7
-
-
84865425579
-
Robust and scalable graph-based semisupervised learning
-
Sep
-
W. Liu, J. Wang, and S. F. Chang, "Robust and scalable graph-based semisupervised learning," Proc. IEEE, vol. 100, no. 9, pp. 2624-2638, Sep. 2012.
-
(2012)
Proc. IEEE
, vol.100
, Issue.9
, pp. 2624-2638
-
-
Liu, W.1
Wang, J.2
Chang, S.F.3
-
8
-
-
84908204128
-
Data clustering by Laplacian regularized -1-graph
-
Y. Yang, Z. Wang, J. Yang, J. Wang, S. Chang, and T. S. Huang, "Data clustering by Laplacian regularized -1-graph," in Proc. AAAI, 2014, pp. 3148-3149.
-
(2014)
Proc. AAAI
, pp. 3148-3149
-
-
Yang, Y.1
Wang, Z.2
Yang, J.3
Wang, J.4
Chang, S.5
Huang, T.S.6
-
9
-
-
84896993153
-
Weakly supervised multigraph learning for robust image reranking
-
Apr
-
C. Deng, R. Ji, D. Tao, X. Gao, and X. Li, "Weakly supervised multigraph learning for robust image reranking," IEEE Trans. Multimedia, vol. 16, no. 3, pp. 785-795, Apr. 2014.
-
(2014)
IEEE Trans. Multimedia
, vol.16
, Issue.3
, pp. 785-795
-
-
Deng, C.1
Ji, R.2
Tao, D.3
Gao, X.4
Li, X.5
-
10
-
-
79952402835
-
Image annotation by kNN-sparse graph-based label propagation over noisily tagged Web images
-
J. Tang, R. Hong, S. Yan, T.-S. Chua, G.-J. Qi, and R. Jain, "Image annotation by kNN-sparse graph-based label propagation over noisily tagged Web images," ACM Trans. Intell. Syst. Technol., vol. 1, no. 1, pp. 111-126, 2011.
-
(2011)
ACM Trans. Intell. Syst. Technol.
, vol.1
, Issue.1
, pp. 111-126
-
-
Tang, J.1
Hong, R.2
Yan, S.3
Chua, T.-S.4
Qi, G.-J.5
Jain, R.6
-
11
-
-
1942484430
-
Semi-supervised learning using Gaussian fields and harmonic functions
-
X. Zhu, Z. Ghahramani, and J. D. Lafferty, "Semi-supervised learning using gaussian fields and harmonic functions," in Proc. ICML, 2003, pp. 912-919.
-
(2003)
Proc. ICML
, pp. 912-919
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.D.3
-
12
-
-
22944492898
-
Learning with local and global consistency
-
D. Zhou, O. Bousquet, T. N. Lal, J. Weston, and B. Schölkopf, "Learning with local and global consistency," in Proc. NIPS, 2003, pp. 1-8.
-
(2003)
Proc. NIPS
, pp. 1-8
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
13
-
-
33750729556
-
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
-
Nov
-
M. Belkin, P. Niyogi, and V. Sindhwani, "Manifold regularization: A geometric framework for learning from labeled and unlabeled examples," J. Mach. Learn. Res., vol. 7, pp. 2399-2434, Nov. 2006.
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
14
-
-
31844440904
-
Beyond the point cloud: From transductive to semi-supervised learning
-
V. Sindhwani, P. Niyogi, and M. Belkin, "Beyond the point cloud: From transductive to semi-supervised learning," in Proc. ICML, 2005, pp. 824-831.
-
(2005)
Proc. ICML
, pp. 824-831
-
-
Sindhwani, V.1
Niyogi, P.2
Belkin, M.3
-
15
-
-
77953705810
-
Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction
-
Jul
-
F. Nie, D. Xu, I. W. Tsang, and C. Zhang, "Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction," IEEE Trans. Image Process., vol. 19, no. 7, pp. 1921-1932, Jul. 2010.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.7
, pp. 1921-1932
-
-
Nie, F.1
Xu, D.2
Tsang, I.W.3
Zhang, C.4
-
16
-
-
80051548569
-
Semisupervised generalized discriminant analysis
-
Aug
-
Y. Zhang and D.-Y. Yeung, "Semisupervised generalized discriminant analysis," IEEE Trans. Neural Netw., vol. 22, no. 8, pp. 1207-1217, Aug. 2011.
-
(2011)
IEEE Trans. Neural Netw.
, vol.22
, Issue.8
, pp. 1207-1217
-
-
Zhang, Y.1
Yeung, D.-Y.2
-
17
-
-
84880548516
-
Inter-media hashing for large-scale retrieval from heterogeneous data sources
-
J. Song, Y. Yang, Y. Yang, Z. Huang, and H. T. Shen, "Inter-media hashing for large-scale retrieval from heterogeneous data sources," in Proc. SIGMOD, 2013, pp. 785-796.
-
(2013)
Proc. SIGMOD
, pp. 785-796
-
-
Song, J.1
Yang, Y.2
Yang, Y.3
Huang, Z.4
Shen, H.T.5
-
18
-
-
36648998944
-
Label propagation through linear neighborhoods
-
Jan
-
F. Wang and C. Zhang, "Label propagation through linear neighborhoods," IEEE Trans. Knowl. Data Eng., vol. 20, no. 1, pp. 55-67, Jan. 2008.
-
(2008)
IEEE Trans. Knowl. Data Eng.
, vol.20
, Issue.1
, pp. 55-67
-
-
Wang, F.1
Zhang, C.2
-
19
-
-
84991599096
-
Constructing the L2-graph for robust subspace learning and subspace clustering
-
X. Peng, Z. Yu, Z. Yi, and H. Tang, "Constructing the L2-graph for robust subspace learning and subspace clustering," IEEE Trans. Cybern., vol. PP, no. 99, pp. 1-14, 2012.
-
(2012)
IEEE Trans. Cybern.
, vol.99
, pp. 1-14
-
-
Peng, X.1
Yu, Z.2
Yi, Z.3
Tang, H.4
-
20
-
-
84455173075
-
Multiple feature hashing for real-time large scale near-duplicate video retrieval
-
J. Song, Y. Yang, Z. Huang, H. T. Shen, and R. Hong, "Multiple feature hashing for real-time large scale near-duplicate video retrieval," in Proc. ACM Multimedia, 2011, pp. 423-432.
-
(2011)
Proc. ACM Multimedia
, pp. 423-432
-
-
Song, J.1
Yang, Y.2
Huang, Z.3
Shen, H.T.4
Hong, R.5
-
21
-
-
84898794231
-
No matter where you are: Flexible graph-guided multi-task learning for multi-view head pose classification under target motion
-
Y. Yan, E. Ricci, S. Ramanathan, O. Lanz, and N. Sebe, "No matter where you are: Flexible graph-guided multi-task learning for multi-view head pose classification under target motion," in Proc. ICCV, 2013, pp. 1177-1184.
-
(2013)
Proc. ICCV
, pp. 1177-1184
-
-
Yan, Y.1
Ricci, E.2
Ramanathan, S.3
Lanz, O.4
Sebe, N.5
-
22
-
-
84903137922
-
Robust hashing with local models for approximate similarity search
-
Jul
-
J. Song, Y. Yang, X. Li, Z. Huang, and Y. Yang, "Robust hashing with local models for approximate similarity search," IEEE Trans. Cybern., vol. 44, no. 7, pp. 1225-1236, Jul. 2014.
-
(2014)
IEEE Trans. Cybern.
, vol.44
, Issue.7
, pp. 1225-1236
-
-
Song, J.1
Yang, Y.2
Li, X.3
Huang, Z.4
Yang, Y.5
-
23
-
-
84994636856
-
Graphwithout- cut: An ideal graph learning for image segmentation
-
L. Gao, J. Song, F. Nie, F. Zou, N. Sebe, and H. T. Shen, "Graphwithout- cut: An ideal graph learning for image segmentation," in Proc. AAAI, 2016, pp. 1188-1194.
-
(2016)
Proc. AAAI
, pp. 1188-1194
-
-
Gao, L.1
Song, J.2
Nie, F.3
Zou, F.4
Sebe, N.5
Shen, H.T.6
-
24
-
-
84991702631
-
A survey on learning to hash
-
J. Wang, T. Zhang, J. Song, N. Sebe, and H. T. Shen, "A survey on learning to hash," CoRR, 2016. Online. Available: http://arxiv.org/abs/1606.00185
-
(2016)
CoRR
-
-
Wang, J.1
Zhang, T.2
Song, J.3
Sebe, N.4
Shen, H.T.5
-
25
-
-
84994613586
-
Joint graph learning and video segmentation via multiple cues and topology calibration
-
J. Song, L. Gao, M. M. Puscas, F. Nie, F. Shen, and N. Sebe, "Joint graph learning and video segmentation via multiple cues and topology calibration," in Proc. ACM Multimedia, 2016.
-
(2016)
Proc. ACM Multimedia
-
-
Song, J.1
Gao, L.2
Puscas, M.M.3
Nie, F.4
Shen, F.5
Sebe, N.6
-
26
-
-
0041875229
-
On spectral clustering: Analysis and an algorithm
-
A. Y. Ng, M. I. Jordan, and Y. Weiss, "On spectral clustering: Analysis and an algorithm," in Proc. NIPS, 2001, pp. 849-856.
-
(2001)
Proc. NIPS
, pp. 849-856
-
-
Ng, A.Y.1
Jordan, M.I.2
Weiss, Y.3
-
27
-
-
34948906262
-
Segmenting motions of different types by unsupervised manifold clustering
-
A. Goh and R. Vidal, "Segmenting motions of different types by unsupervised manifold clustering," in Proc. CVPR, 2007, pp. 1-6.
-
(2007)
Proc. CVPR
, pp. 1-6
-
-
Goh, A.1
Vidal, R.2
-
28
-
-
77956034602
-
Motion segmentation in the presence of outlying, incomplete, or corrupted trajectories
-
Oct
-
S. Rao, R. Tron, R. Vidal, and Y. Ma, "Motion segmentation in the presence of outlying, incomplete, or corrupted trajectories," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 10, pp. 1832-1845, Oct. 2010.
-
(2010)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.32
, Issue.10
, pp. 1832-1845
-
-
Rao, S.1
Tron, R.2
Vidal, R.3
Ma, Y.4
-
29
-
-
84884541998
-
Sparse subspace clustering: Algorithm, theory, and applications
-
Nov
-
E. Elhamifar and R. Vidal, "Sparse subspace clustering: Algorithm, theory, and applications," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 11, pp. 2765-2781, Nov. 2013.
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, Issue.11
, pp. 2765-2781
-
-
Elhamifar, E.1
Vidal, R.2
-
30
-
-
77249095854
-
Semi-supervised learning by sparse representation
-
S. Yan and H. Wang, "Semi-supervised learning by sparse representation," in Proc. ICDM, 2009, pp. 792-801.
-
(2009)
Proc. ICDM
, pp. 792-801
-
-
Yan, S.1
Wang, H.2
-
31
-
-
77956529193
-
Robust subspace segmentation by low-rank representation
-
G. Liu, Z. Lin, and Y. Yu, "Robust subspace segmentation by low-rank representation," in Proc. ICML, 2010, pp. 663-670.
-
(2010)
Proc. ICML
, pp. 663-670
-
-
Liu, G.1
Lin, Z.2
Yu, Y.3
-
32
-
-
84870197517
-
Robust recovery of subspace structures by low-rank representation
-
Jan
-
G. Liu, Z. Lin, S. Yan, J. Sun, Y. Yu, 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
Yu, Y.5
Ma, Y.6
-
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. ICCV, 2011, pp. 1615-1622.
-
(2011)
Proc. ICCV
, pp. 1615-1622
-
-
Liu, G.1
Yan, S.2
-
34
-
-
84866669326
-
Fixed-rank representation for unsupervised visual learning
-
R. Liu, Z. Lin, F. De la Torre, and Z. Su, "Fixed-rank representation for unsupervised visual learning," in Proc. CVPR, 2012, pp. 598-605.
-
(2012)
Proc. CVPR
, pp. 598-605
-
-
Liu, R.1
Lin, Z.2
De La Torre, F.3
Su, Z.4
-
35
-
-
85162319688
-
Sparse manifold clustering and embedding
-
E. Elhamifar and R. Vidal, "Sparse manifold clustering and embedding," in Proc. NIPS, 2011, pp. 55-63.
-
(2011)
Proc. NIPS
, pp. 55-63
-
-
Elhamifar, E.1
Vidal, R.2
-
36
-
-
85133386144
-
Distance metric learning with application to clustering with side-information
-
E. P. Xing, A. Y. Ng, M. I. Jordan, and S. J. Russell, "Distance metric learning with application to clustering with side-information," in Proc. NIPS, 2002, pp. 505-512.
-
(2002)
Proc. NIPS
, pp. 505-512
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.J.4
-
37
-
-
85032760331
-
Subspace clustering
-
Mar
-
R. Vidal, "Subspace clustering," IEEE Signal Process. Mag., vol. 28, no. 2, pp. 52-68, Mar. 2011.
-
(2011)
IEEE Signal Process. Mag.
, vol.28
, Issue.2
, pp. 52-68
-
-
Vidal, R.1
-
38
-
-
79952402835
-
Image annotation by kNN-sparse graph-based label propagation over noisily tagged Web images
-
J. Tang, R. Hong, S. Yan, T.-S. Chua, G.-J. Qi, and R. Jain, "Image annotation by kNN-sparse graph-based label propagation over noisily tagged Web images," ACM Trans. Intell. Syst. Technol., vol. 2, no. 2, p. 14, 2011.
-
(2011)
ACM Trans. Intell. Syst. Technol.
, vol.2
, Issue.2
, pp. 14
-
-
Tang, J.1
Hong, R.2
Yan, S.3
Chua, T.-S.4
Qi, G.-J.5
Jain, R.6
-
39
-
-
84991578012
-
Socializing the semantic gap: A comparative survey on image tag assignment, refinement and retrieval
-
X. Li, T. Uricchio, L. Ballan, M. Bertini, C. G. M. Snoek, and A. D. Bimbo, "Socializing the semantic gap: A comparative survey on image tag assignment, refinement and retrieval," CoRR, 2015.
-
(2015)
CoRR
-
-
Li, X.1
Uricchio, T.2
Ballan, L.3
Bertini, M.4
Snoek, C.G.M.5
Bimbo, A.D.6
-
40
-
-
70350333307
-
Learning social tag relevance by neighbor voting
-
Nov
-
X. Li, C. G. M. Snoek, and M. Worring, "Learning social tag relevance by neighbor voting," IEEE Trans. Multimedia, vol. 11, no. 7, pp. 1310-1322, Nov. 2009.
-
(2009)
IEEE Trans. Multimedia
, vol.11
, Issue.7
, pp. 1310-1322
-
-
Li, X.1
Snoek, C.G.M.2
Worring, M.3
-
41
-
-
84904857595
-
Visually weighted neighbor voting for image tag relevance learning
-
S. Lee, W. D. Neve, and Y. M. Ro, "Visually weighted neighbor voting for image tag relevance learning," Multimedia Tools Appl., vol. 72, no. 2, pp. 1363-1386, 2014.
-
(2014)
Multimedia Tools Appl.
, vol.72
, Issue.2
, pp. 1363-1386
-
-
Lee, S.1
Neve, W.D.2
Ro, Y.M.3
-
42
-
-
84904580435
-
An adaptive teleportation random walk model for learning social tag relevance
-
X. Zhu, W. Nejdl, and M. Georgescu, "An adaptive teleportation random walk model for learning social tag relevance," in Proc. SIGIR, 2014, pp. 223-232.
-
(2014)
Proc. SIGIR
, pp. 223-232
-
-
Zhu, X.1
Nejdl, W.2
Georgescu, M.3
-
43
-
-
84899715386
-
A cross-media model for automatic image annotation
-
L. Ballan, T. Uricchio, L. Seidenari, and A. D. Bimbo, "A cross-media model for automatic image annotation," in Proc. ICMR, 2014, p. 73.
-
(2014)
Proc. ICMR
, pp. 73
-
-
Ballan, L.1
Uricchio, T.2
Seidenari, L.3
Bimbo, A.D.4
-
44
-
-
84901944812
-
Image tag refinement by regularized latent Dirichlet allocation
-
Jul
-
J. Wang, J. Zhou, H. Xu, T. Mei, X. Hua, and S. Li, "Image tag refinement by regularized latent Dirichlet allocation," Comput. Vis. Image Understand., vol. 124, pp. 61-70, Jul. 2014.
-
(2014)
Comput. Vis. Image Understand.
, vol.124
, pp. 61-70
-
-
Wang, J.1
Zhou, J.2
Xu, H.3
Mei, T.4
Hua, X.5
Li, S.6
-
45
-
-
84864132051
-
Tag-based image retrieval improved by augmented features and group-based refinement
-
Aug
-
L. Chen, D. Xu, I. W. Tsang, and J. Luo, "Tag-based image retrieval improved by augmented features and group-based refinement," IEEE Trans. Multimedia, vol. 14, no. 4, pp. 1057-1067, Aug. 2012.
-
(2012)
IEEE Trans. Multimedia
, vol.14
, Issue.4
, pp. 1057-1067
-
-
Chen, L.1
Xu, D.2
Tsang, I.W.3
Luo, J.4
-
46
-
-
77952381653
-
Image annotation with tagprop on the MIRFLICKR set
-
J. Verbeek, M. Guillaumin, T. Mensink, and C. Schmid, "Image annotation with tagprop on the MIRFLICKR set," in Proc. ACM Multimedia, 2010, pp. 537-546.
-
(2010)
Proc. ACM Multimedia
, pp. 537-546
-
-
Verbeek, J.1
Guillaumin, M.2
Mensink, T.3
Schmid, C.4
-
47
-
-
84991671343
-
ConceptLearner: Discovering visual concepts from weakly labeled image collections
-
B. Zhou, V. Jagadeesh, and R. Piramuthu, "ConceptLearner: Discovering visual concepts from weakly labeled image collections," CoRR, 2014.
-
(2014)
CoRR
-
-
Zhou, B.1
Jagadeesh, V.2
Piramuthu, R.3
-
48
-
-
84898785904
-
Learning view-invariant sparse representations for cross-view action recognition
-
J. Zheng and Z. Jiang, "Learning view-invariant sparse representations for cross-view action recognition," in Proc. ICCV, 2013, pp. 3176-3183.
-
(2013)
Proc. ICCV
, pp. 3176-3183
-
-
Zheng, J.1
Jiang, Z.2
-
49
-
-
84937469086
-
Tag completion with defective tag assignments via image-tag re-weighting
-
X. Xu, A. Shimada, and R. Taniguchi, "Tag completion with defective tag assignments via image-tag re-weighting," in Proc. ICME, 2014, pp. 1-6.
-
(2014)
Proc. ICME
, pp. 1-6
-
-
Xu, X.1
Shimada, A.2
Taniguchi, R.3
-
50
-
-
84906348075
-
Image tag completion by noisy matrix recovery
-
Z. Feng, S. Feng, R. Jin, and A. K. Jain, "Image tag completion by noisy matrix recovery," in Proc. ECCV, 2014, pp. 424-438.
-
(2014)
Proc. ECCV
, pp. 424-438
-
-
Feng, Z.1
Feng, S.2
Jin, R.3
Jain, A.K.4
-
51
-
-
84857357767
-
Leveraging community metadata for multimodal image ranking
-
F. Richter, S. Romberg, E. Hörster, and R. Lienhart, "Leveraging community metadata for multimodal image ranking," Multimedia Tools Appl., vol. 56, no. 1, pp. 35-62, 2012.
-
(2012)
Multimedia Tools Appl.
, vol.56
, Issue.1
, pp. 35-62
-
-
Richter, F.1
Romberg, S.2
Hörster, E.3
Lienhart, R.4
-
52
-
-
0034704222
-
Nonlinear dimensionality reduction by locally linear embedding
-
Dec
-
S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, Dec. 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2323-2326
-
-
Roweis, S.T.1
Saul, L.K.2
-
53
-
-
80053456121
-
Hashing with graphs
-
W. Liu, J. Wang, S. Kumar, and S. Chang, "Hashing with graphs," in Proc. ICML, 2011, pp. 1-8.
-
(2011)
Proc. ICML
, pp. 1-8
-
-
Liu, W.1
Wang, J.2
Kumar, S.3
Chang, S.4
-
54
-
-
84898790932
-
Large-scale image annotation by efficient and robust kernel metric learning
-
Z. Feng, R. Jin, and A. Jain, "Large-scale image annotation by efficient and robust kernel metric learning," in Proc. ICCV, 2013, pp. 1609-1616.
-
(2013)
Proc. ICCV
, pp. 1609-1616
-
-
Feng, Z.1
Jin, R.2
Jain, A.3
-
55
-
-
84861159415
-
Fast semantic diffusion for large-scale context-based image and video annotation
-
Jun
-
Y.-G. Jiang, Q. Dai, J. Wang, C.-W. Ngo, X. Xue, and S.-F. Chang, "Fast semantic diffusion for large-scale context-based image and video annotation," IEEE Trans. Image Process., vol. 21, no. 6, pp. 3080-3091, Jun. 2012.
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.6
, pp. 3080-3091
-
-
Jiang, Y.-G.1
Dai, Q.2
Wang, J.3
Ngo, C.-W.4
Xue, X.5
Chang, S.-F.6
-
56
-
-
84894522762
-
Attribute-based classification for zero-shot visual object categorization
-
Mar
-
C. H. Lampert, H. Nickisch, and S. Harmeling, "Attribute-based classification for zero-shot visual object categorization," IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 3, pp. 453-465, Mar. 2014.
-
(2014)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.36
, Issue.3
, pp. 453-465
-
-
Lampert, C.H.1
Nickisch, H.2
Harmeling, S.3
-
57
-
-
70450207704
-
Describing objects by their attributes
-
A. Farhadi, I. Endres, D. Hoiem, and D. A. Forsyth, "Describing objects by their attributes," in Proc. CVPR, 2009, pp. 1778-1785.
-
(2009)
Proc. CVPR
, pp. 1778-1785
-
-
Farhadi, A.1
Endres, I.2
Hoiem, D.3
Forsyth, D.A.4
-
58
-
-
84866713663
-
Online incremental attribute-based zero-shot learning
-
P. Kankuekul, A. Kawewong, S. Tangruamsub, and O. Hasegawa, "Online incremental attribute-based zero-shot learning," in Proc. CVPR, 2012, pp. 3657-3664.
-
(2012)
Proc. CVPR
, pp. 3657-3664
-
-
Kankuekul, P.1
Kawewong, A.2
Tangruamsub, S.3
Hasegawa, O.4
-
59
-
-
84887368641
-
Designing category-level attributes for discriminative visual recognition
-
F. X. Yu, L. Cao, R. S. Feris, J. R. Smith, and S.-F. Chang, "Designing category-level attributes for discriminative visual recognition," in Proc. CVPR, 2013, pp. 771-778.
-
(2013)
Proc. CVPR
, pp. 771-778
-
-
Yu, F.X.1
Cao, L.2
Feris, R.S.3
Smith, J.R.4
Chang, S.-F.5
|