-
1
-
-
78650996353
-
-
Flickr, http://www.flickr.com.
-
-
-
-
2
-
-
78650983774
-
Harvesting large-scale weakly-tagged image databases from the web
-
J. Fan, Y. Shen, N. Zhou, Y. Gao, "Harvesting large-scale weakly-tagged image databases from the web", IEEE CVPR, 2010.
-
IEEE CVPR, 2010
-
-
Fan, J.1
Shen, Y.2
Zhou, N.3
Gao, Y.4
-
3
-
-
78650993710
-
-
MSRC, http://research.microsoft.com/.
-
-
-
-
5
-
-
84455207116
-
Using multiple segmentations to discover objects and their extent in image collections
-
B. Russell, A. Efros, J. Sivic, W. Freeman, A. Zisserman, "Using multiple segmentations to discover objects and their extent in image collections", IEEE CVPR, 2006.
-
IEEE CVPR, 2006
-
-
Russell, B.1
Efros, A.2
Sivic, J.3
Freeman, W.4
Zisserman, A.5
-
6
-
-
33847172327
-
Clustering by passing messages between data points
-
B.J. Frey, D. Dueck, "Clustering by passing messages between data points", Science, vol.315, 2007
-
(2007)
Science
, vol.315
-
-
Frey, B.J.1
Dueck, D.2
-
7
-
-
78650968834
-
Keywords to visual categories: Multiple-instance learning for weakly supervised object categorization
-
S. Vijayanarasimhan, K. Grauman, "Keywords to visual categories: Multiple-instance learning for weakly supervised object categorization", IEEE CVPR 2008.
-
IEEE CVPR 2008
-
-
Vijayanarasimhan, S.1
Grauman, K.2
-
8
-
-
0344425673
-
Content-based image retrieval using multiple-instance learning
-
Q. Zhang, W. Yu, S. A. Goldman, J. E. Fritts, "Content-based image retrieval using multiple-instance learning", ICML, 2002.
-
ICML, 2002
-
-
Zhang, Q.1
Yu, W.2
Goldman, S.A.3
Fritts, J.E.4
-
9
-
-
0002288190
-
Multiple-instance learning for natural scene classification
-
O. Maron, A. L. Ratan, "Multiple-instance learning for natural scene classification", ICML, 1998.
-
ICML, 1998
-
-
Maron, O.1
Ratan, A.L.2
-
10
-
-
33947180489
-
MILES: Multiple instance learning via embedded instance selection
-
Y. Chen, J. Bi, J. Z. Wang, "MILES: multiple instance learning via embedded instance selection", IEEE Trans. PAMI, vol.28, no.12, pp.1931-1947, 2006.
-
(2006)
IEEE Trans. PAMI
, vol.28
, Issue.12
, pp. 1931-1947
-
-
Chen, Y.1
Bi, J.2
Wang, J.Z.3
-
11
-
-
3042597440
-
Learning multi-label scene classification
-
M. R. Boutell, J. Luo, X. Shen, C.M. Brown,"Learning multi-label scene classification", Pattern Recognition, vol. 37, no.9, pp. 1757-1771, 2004.
-
(2004)
Pattern Recognition
, vol.37
, Issue.9
, pp. 1757-1771
-
-
Boutell, M.R.1
Luo, J.2
Shen, X.3
Brown, C.M.4
-
12
-
-
84864028262
-
Multi-instance multi-label learning with application to scene classification
-
Z.-H. Zhu, M.-L. Zhang, "Multi-instance multi-label learning with application to scene classification", NIPS, 2006.
-
NIPS, 2006
-
-
Zhu, Z.-H.1
Zhang, M.-L.2
-
13
-
-
40849134401
-
Integrating concept ontology and multi-task learning to achieve more effective classifier training for multi-level image annotation
-
J. Fan, Y. Gao, H. Luo, "Integrating concept ontology and multi-task learning to achieve more effective classifier training for multi-level image annotation", IEEE Trans. on Image Processing, vol. 17, no.3, pp.407-426, 2008.
-
(2008)
IEEE Trans. on Image Processing
, vol.17
, Issue.3
, pp. 407-426
-
-
Fan, J.1
Gao, Y.2
Luo, H.3
-
14
-
-
21844456299
-
Learning multiple tasks with kernel methods
-
T. Evgeniou, C.A. Micchelli, M. Pontil, "Learning multiple tasks with kernel methods", Journal of Machine Learning Research, vol.6, pp.615-637, 2005.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 615-637
-
-
Evgeniou, T.1
Micchelli, C.A.2
Pontil, M.3
-
15
-
-
33646590894
-
Discriminative random fields
-
S. Kumar, M. Hebert, "Discriminative random fields", Intl. Journal of Computer Vision, vol.68, no.2, pp.179-201, 2006.
-
(2006)
Intl. Journal of Computer Vision
, vol.68
, Issue.2
, pp. 179-201
-
-
Kumar, S.1
Hebert, M.2
-
16
-
-
55649111242
-
Harmonium models for semantic video representation and classification
-
J. Yang, Y. Liu, E. X. Ping, A.G. Hauptmann, "Harmonium models for semantic video representation and classification", SIAM Conf. on Data Mining, 2007.
-
SIAM Conf. on Data Mining, 2007
-
-
Yang, J.1
Liu, Y.2
Ping, E.X.3
Hauptmann, A.G.4
-
17
-
-
36448934942
-
Sharing features: Efficient boosting procedures for multiclass object detection
-
A. Torralba, K. P. Murphy, W. T. Freeman, "Sharing features: efficient boosting procedures for multiclass object detection", IEEE CVPR, 2004.
-
IEEE CVPR, 2004
-
-
Torralba, A.1
Murphy, K.P.2
Freeman, W.T.3
-
18
-
-
34547507625
-
Context-based concept fusion with boosted conditional random fields
-
W. Jiang, S.-F. Chang, A. Loui, "Context-based concept fusion with boosted conditional random fields", IEEE ICASSP, 2007.
-
IEEE ICASSP, 2007
-
-
Jiang, W.1
Chang, S.-F.2
Loui, A.3
-
19
-
-
64049112584
-
Correlative linear neighborhood propagation for video annotation
-
J. Tang, X. Hua, M. Wang, Z. Gu, G. Qi, X. Wu, "Correlative linear neighborhood propagation for video annotation", IEEE Trans. on SMC, vol. 39, no.2, pp.409-416, 2009.
-
(2009)
IEEE Trans. on SMC
, vol.39
, Issue.2
, pp. 409-416
-
-
Tang, J.1
Hua, X.2
Wang, M.3
Gu, Z.4
Qi, G.5
Wu, X.6
-
20
-
-
34547472538
-
An adaptive graph model for automatic image annotation
-
J. Liu , M. Li , W.-Y. Ma , Q. Liu , H. Lu, "An adaptive graph model for automatic image annotation", ACM Multimedia Workshop on MIR, 2006.
-
ACM Multimedia Workshop on MIR, 2006
-
-
Liu, J.1
Li, M.2
Ma, W.-Y.3
Liu, Q.4
Lu, H.5
-
21
-
-
37849015906
-
Correlative multi-label video annotation
-
G.-J. Qi, X.-S. Hua, Y. Rui, J. Tang, T. Mei, H.-J. Zhang, "Correlative multi-label video annotation", ACM Multimedia, pp.17-26, 2007.
-
(2007)
ACM Multimedia
, pp. 17-26
-
-
Qi, G.-J.1
Hua, X.-S.2
Rui, Y.3
Tang, J.4
Mei, T.5
Zhang, H.-J.6
-
22
-
-
51949083216
-
Joint multi-label multi-instance learning for image classification
-
Z. Zha, X.-S. Hua, T. Mei, J. Wang, G.-J. Qi, Z. Wang, "Joint multi-label multi-instance learning for image classification", IEEE CVPR, 2008.
-
IEEE CVPR, 2008
-
-
Zha, Z.1
Hua, X.-S.2
Mei, T.3
Wang, J.4
Qi, G.-J.5
Wang, Z.6
-
23
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
I. Tsochantaridis, T. Joachims, T. Hofmann,Y. Altun, "Large margin methods for structured and interdependent output variables", Journal of Machine Learning Research, vol.6, pp.1453-1484, 2005.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1453-1484
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
-
24
-
-
69549111057
-
Cutting-plane training of structural SVMs
-
T. Joachims, T. Finley, C. Yu, "Cutting-plane training of structural SVMs", Machine Learning, vol. 77, no.1, pp.27-59, 2009.
-
(2009)
Machine Learning
, vol.77
, Issue.1
, pp. 27-59
-
-
Joachims, T.1
Finley, T.2
Yu, C.3
-
25
-
-
0020083498
-
The meaning and use of the area under a receiver operating characteristic (roc) curve
-
J.A. Hanley, B.J. Mcneil, "The meaning and use of the area under a receiver operating characteristic (roc) curve", Radiology, vol.143, no.1, pp.29-36, 1982.
-
(1982)
Radiology
, vol.143
, Issue.1
, pp. 29-36
-
-
Hanley, J.A.1
Mcneil, B.J.2
-
26
-
-
13444267387
-
Multi-level annotation of natural scenes using dominant image components and semantic image concepts
-
J. Fan, Y. Gao, H. Luo, "Multi-level annotation of natural scenes using dominant image components and semantic image concepts", ACM Multimedia, 2004.
-
(2004)
ACM Multimedia
-
-
Fan, J.1
Gao, Y.2
Luo, H.3
-
27
-
-
84898956286
-
Parallel support vector machines: The cascade SVM
-
H.P. Graf, E. Cosatto, L. Bottou, I. Durdanovic, V. Vapnik, "Parallel support vector machines: The cascade SVM", NIPS 2004.
-
NIPS 2004
-
-
Graf, H.P.1
Cosatto, E.2
Bottou, L.3
Durdanovic, I.4
Vapnik, V.5
-
28
-
-
29144499905
-
Working set selection using the second order information for training SVM
-
R. Fan, P. Chen, C.-J. Lin, "Working set selection using the second order information for training SVM", Journal of Machine Learning Research, vol. 6, pp.1889-1918, 2005.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1889-1918
-
-
Fan, R.1
Chen, P.2
Lin, C.-J.3
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