-
1
-
-
52649118114
-
Semi-supervised multi-label learning by solving a Sylvester equation
-
Atlanta, Georgia
-
G. Chen, Y. Song, F. Wang, C. Zhang, Semi-supervised multi-label learning by solving a Sylvester equation, in: SIAM International Conference on Data Mining (SDM), Atlanta, Georgia, 2008, pp. 410-419.
-
(2008)
SIAM International Conference on Data Mining (SDM)
, pp. 410-419
-
-
Chen, G.1
Song, Y.2
Wang, F.3
Zhang, C.4
-
2
-
-
33745456231
-
Semi-supervised learning literature survey
-
Tech. Rep. 1530, Computer Sciences, University of Wisconsin-Madison
-
X. Zhu, Semi-supervised learning literature survey, Tech. Rep. 1530, Computer Sciences, University of Wisconsin-Madison, 2005.
-
(2005)
-
-
Zhu, X.1
-
3
-
-
84899006908
-
Learning with local and global consistency
-
MIT Press, Cambridge, MA
-
Zhou D., Bousquet O., Lal T.N., Weston J., and Scholkopf B. Learning with local and global consistency. Advances in Neural Information Processing Systems (NIPS) vol. 16 (2004), MIT Press, Cambridge, MA
-
(2004)
Advances in Neural Information Processing Systems (NIPS)
, vol.16
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Scholkopf, B.5
-
4
-
-
1942484430
-
Semi-supervised learning using Gaussian fields and harmonic functions
-
Washington, DC
-
X. Zhu, Z. Ghahramani, J.D. Lafferty, Semi-supervised learning using Gaussian fields and harmonic functions, in: Proceedings of the Twentieth International Conference on Machine Learning (ICML), Washington, DC, 2003, pp. 912-919.
-
(2003)
Proceedings of the Twentieth International Conference on Machine Learning (ICML)
, pp. 912-919
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.D.3
-
5
-
-
9444289383
-
Regularization and semi-supervised learning on large graphs
-
Annual Conference on Computational Learning Theory (COLT), Springer, Berlin
-
Belkin M., Matveeva I., and Niyogi P. Regularization and semi-supervised learning on large graphs. Annual Conference on Computational Learning Theory (COLT). Lecture Notes in Computer Science vol. 3120 (2004), Springer, Berlin 624-638
-
(2004)
Lecture Notes in Computer Science
, vol.3120
, pp. 624-638
-
-
Belkin, M.1
Matveeva, I.2
Niyogi, P.3
-
6
-
-
84905158235
-
Msra-ustc-sjtu at trecvid 2007: High-level feature extraction and search
-
T. Mei, X.-S. Hua, W. Lai, L. Yang, Z.-J. Zha et al., Msra-ustc-sjtu at trecvid 2007: high-level feature extraction and search, in: TREC Video Retrieval Evaluation Online Proceedings, 2007.
-
(2007)
TREC Video Retrieval Evaluation Online Proceedings
-
-
Mei, T.1
Hua, X.-S.2
Lai, W.3
Yang, L.4
Zha, Z.-J.5
-
8
-
-
37848999908
-
Building a comprehensive ontology to refine video concept detection
-
ACM
-
Z.-J. Zha, T. Mei, Z. Wang, X.-S. Hua, Building a comprehensive ontology to refine video concept detection, in: Proceedings of the International Workshop on Multimedia Information Retrieval, ACM, 2007, pp. 227-236.
-
(2007)
Proceedings of the International Workshop on Multimedia Information Retrieval
, pp. 227-236
-
-
Zha, Z.-J.1
Mei, T.2
Wang, Z.3
Hua, X.-S.4
-
9
-
-
37849015906
-
Correlative multi-label video annotation
-
ACM
-
G.-J. Qi, X.-S. Hua, Y. Rui, J. Tang, T. Mei, H.-J. Zhang, Correlative multi-label video annotation, in: Proceedings of the ACM International Conference on Multimedia (MM), ACM, 2007, pp. 17-26.
-
(2007)
Proceedings of the ACM International Conference on Multimedia (MM)
, pp. 17-26
-
-
Qi, G.-J.1
Hua, X.-S.2
Rui, Y.3
Tang, J.4
Mei, T.5
Zhang, H.-J.6
-
10
-
-
37849052258
-
Structure-sensitive manifold ranking for video concept detection
-
ACM
-
J. Tang, X.-S. Hua, G.-J. Qi, M. Wang, T. Mei, X. Wu, Structure-sensitive manifold ranking for video concept detection, in: Proceedings of the ACM International Conference on Multimedia (MM), ACM, 2007, pp. 852-861.
-
(2007)
Proceedings of the ACM International Conference on Multimedia (MM)
, pp. 852-861
-
-
Tang, J.1
Hua, X.-S.2
Qi, G.-J.3
Wang, M.4
Mei, T.5
Wu, X.6
-
11
-
-
44049095621
-
Video Annotation Based on Kernel Linear Neighborhood Propagation
-
Tang J., Hua X.-S., Qi G.-J., Song Y., and Wu X. Video Annotation Based on Kernel Linear Neighborhood Propagation. IEEE Transaction on Multimedia (2008) 620-628
-
(2008)
IEEE Transaction on Multimedia
, pp. 620-628
-
-
Tang, J.1
Hua, X.-S.2
Qi, G.-J.3
Song, Y.4
Wu, X.5
-
12
-
-
37849010598
-
Video annotation by graph-based learning with neighborhood similarity
-
ACM
-
M. Wang, T. Mei, X. Yuan, Y. Song, L.-R. Dai, Video annotation by graph-based learning with neighborhood similarity, in: Proceedings of the ACM International Conference on Multimedia (MM), ACM, 2007, pp. 325-328.
-
(2007)
Proceedings of the ACM International Conference on Multimedia (MM)
, pp. 325-328
-
-
Wang, M.1
Mei, T.2
Yuan, X.3
Song, Y.4
Dai, L.-R.5
-
13
-
-
54049147025
-
Graph-based semi-supervised learning with multi-label
-
Z.-J. Zha, T. Mei, J. Wang, Z. Wang, X.-S. Hua, Graph-based semi-supervised learning with multi-label, in: Proceedings of International Conference on Multimedia and Expo (ICME), 2008, pp. 1321-1324.
-
(2008)
Proceedings of International Conference on Multimedia and Expo (ICME)
, pp. 1321-1324
-
-
Zha, Z.-J.1
Mei, T.2
Wang, J.3
Wang, Z.4
Hua, X.-S.5
-
14
-
-
33750718803
-
Semi-supervised multi-label learning by constrained non-negative matrix factorization
-
AAAI, Boston
-
Y. Liu, R. Jin, L. Yang, Semi-supervised multi-label learning by constrained non-negative matrix factorization, in: Proceedings of National Conference on Artificial Intelligence and Innovative Applications of Artificial Intelligence Conference (AAAI), Boston, 2006, pp. 666-671.
-
(2006)
Proceedings of National Conference on Artificial Intelligence and Innovative Applications of Artificial Intelligence Conference
, pp. 666-671
-
-
Liu, Y.1
Jin, R.2
Yang, L.3
-
15
-
-
60649102462
-
-
TRECVID. Available from
-
TRECVID. Available from: .
-
-
-
-
17
-
-
36849001277
-
LSCOM-lite: A light scale concept ontology for multimedia understanding for TRECVID 2005
-
Technical Report, RC23612, IBM T.J. Watson Research Center
-
M. Naphade, L. Kennedy, J.R. Kender, S.F. Chang, J.R. Smith, P. Over, A. Hauptmann, LSCOM-lite: a light scale concept ontology for multimedia understanding for TRECVID 2005, Technical Report, RC23612, IBM T.J. Watson Research Center, 2005.
-
(2005)
-
-
Naphade, M.1
Kennedy, L.2
Kender, J.R.3
Chang, S.F.4
Smith, J.R.5
Over, P.6
Hauptmann, A.7
-
18
-
-
60649109171
-
-
A. Yanagawa, S.-F Chang, L. Kennedy, W. Hsu, Columbia university's baseline detectors for 374 LSCOM semantic visual concepts, Columbia University ADVENT Technical Report#222-2006-8, 2007.
-
A. Yanagawa, S.-F Chang, L. Kennedy, W. Hsu, Columbia university's baseline detectors for 374 LSCOM semantic visual concepts, Columbia University ADVENT Technical Report#222-2006-8, 2007.
-
-
-
-
19
-
-
0031620208
-
-
A. Blum, T. Mitchell, Combining labeled and unlabeled data with co-training, in: Proceedings of the 1998 Conference on Computational Learning Theory (COLT), July 1998, pp. 92-100.
-
A. Blum, T. Mitchell, Combining labeled and unlabeled data with co-training, in: Proceedings of the 1998 Conference on Computational Learning Theory (COLT), July 1998, pp. 92-100.
-
-
-
-
21
-
-
35348895580
-
-
C. Rosenberg, M. Hebert, H. Schneiderman, Semi-supervised self-training of object detection models, in: Proceedings of the Seventh IEEE Workshop on Applications of Computer Vision, January 2005, pp. 29-36.
-
C. Rosenberg, M. Hebert, H. Schneiderman, Semi-supervised self-training of object detection models, in: Proceedings of the Seventh IEEE Workshop on Applications of Computer Vision, January 2005, pp. 29-36.
-
-
-
-
22
-
-
0033886806
-
Text classification from labeled and unlabeled documents using em
-
Nigam K., McCallum A.K., Thrun S., and Mitchell T. Text classification from labeled and unlabeled documents using em. Machine Learning 39 2-3 (2000) 103-134
-
(2000)
Machine Learning
, vol.39
, Issue.2-3
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.K.2
Thrun, S.3
Mitchell, T.4
-
25
-
-
33845583962
-
Correlated label propagation with application to multi-label learning
-
CVPR
-
F. Kang, R. Jin, R. Sukthankar, Correlated label propagation with application to multi-label learning, in: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2006, pp. 1719-1726.
-
(2006)
Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition
, pp. 1719-1726
-
-
Kang, F.1
Jin, R.2
Sukthankar, R.3
-
27
-
-
3042597440
-
Learning multi-label scene classification
-
Boutell M.R., Luo J., Shen X., and Brown C.M. Learning multi-label scene classification. Pattern Recognition 37 9 (2004) 1757-1771
-
(2004)
Pattern Recognition
, vol.37
, Issue.9
, pp. 1757-1771
-
-
Boutell, M.R.1
Luo, J.2
Shen, X.3
Brown, C.M.4
-
28
-
-
84899033524
-
Maximal margin labeling for multi-topic text categorization
-
Saul L.K., Weiss Y., and Bottou L. (Eds), MIT Press, Cambridge, MA
-
Kazawa H., Izumitani T., Taira H., and Maeda E. Maximal margin labeling for multi-topic text categorization. In: Saul L.K., Weiss Y., and Bottou L. (Eds). Advances in Neural Information Processing Systems (NIPS) (2005), MIT Press, Cambridge, MA 649-656
-
(2005)
Advances in Neural Information Processing Systems (NIPS)
, pp. 649-656
-
-
Kazawa, H.1
Izumitani, T.2
Taira, H.3
Maeda, E.4
-
29
-
-
38249011246
-
Krylov-subspace methods for the Sylvester equation
-
Hu D.Y., and Reichel L. Krylov-subspace methods for the Sylvester equation. Linear Algebra and Its Applications 172 (1992) 283-313
-
(1992)
Linear Algebra and Its Applications
, vol.172
, pp. 283-313
-
-
Hu, D.Y.1
Reichel, L.2
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