-
3
-
-
0025794601
-
Algebraic feature extraction of image for recognition
-
Hong Z. Algebraic feature extraction of image for recognition. Pattern Recognit. 1991, 24(3):211-219.
-
(1991)
Pattern Recognit.
, vol.24
, Issue.3
, pp. 211-219
-
-
Hong, Z.1
-
4
-
-
0032594951
-
Support vector machines for histogram-based image classification
-
Chapelle O., Haffner P., Vapnik V. Support vector machines for histogram-based image classification. IEEE Trans. Neural Netw. 1999, 10(5):1055-1064.
-
(1999)
IEEE Trans. Neural Netw.
, vol.10
, Issue.5
, pp. 1055-1064
-
-
Chapelle, O.1
Haffner, P.2
Vapnik, V.3
-
5
-
-
50649101132
-
-
Image classification using random forests and ferns, in: IEEE International Conference on Computer Vision (ICCV)
-
A. Bosch, A. Zisserman, X. Muoz, Image classification using random forests and ferns, in: IEEE International Conference on Computer Vision (ICCV), 2007, pp. 1-8.
-
(2007)
, pp. 1-8
-
-
Bosch, A.1
Zisserman, A.2
Muoz, X.3
-
6
-
-
51949090223
-
-
In defense of nearest-neighbor based image classification, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
O. Boiman, E. Shechtman, M. Irani, In defense of nearest-neighbor based image classification, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008, pp. 1-8.
-
(2008)
, pp. 1-8
-
-
Boiman, O.1
Shechtman, E.2
Irani, M.3
-
7
-
-
33845572523
-
-
Beyond bags of features: spatial pyramid matching for recognizing natural scene categories, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
S. Lazebnik, C. Schmid, J. Ponce, Beyond bags of features: spatial pyramid matching for recognizing natural scene categories, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, 2006, pp. 2169-2178.
-
(2006)
, vol.2
, pp. 2169-2178
-
-
Lazebnik, S.1
Schmid, C.2
Ponce, J.3
-
8
-
-
77951298115
-
The PASCAL visual object classes (VOC) challenge
-
Everingham M., Van Gool L., Williams C., Winn J., Zisserman A. The PASCAL visual object classes (VOC) challenge. Int. J. Comput. Vis. 2010, 88(2):303-338.
-
(2010)
Int. J. Comput. Vis.
, vol.88
, Issue.2
, pp. 303-338
-
-
Everingham, M.1
Van Gool, L.2
Williams, C.3
Winn, J.4
Zisserman, A.5
-
9
-
-
85198028989
-
-
ImageNet: a large-scale hierarchical image database, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
J. Deng, W. Dong, R. Socher, L. Li, K. Li, L. Fei-Fei, ImageNet: a large-scale hierarchical image database, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009, pp. 248-255.
-
(2009)
, pp. 248-255
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.4
Li, K.5
Fei-Fei, L.6
-
10
-
-
84899966655
-
-
Semi-supervised learning literature survey, Technical Report 1530, Computer Sciences, University of Wisconsin-Madison
-
X. Zhu, Semi-supervised learning literature survey, Technical Report 1530, Computer Sciences, University of Wisconsin-Madison, 2005.
-
(2005)
-
-
Zhu, X.1
-
11
-
-
77956006653
-
-
Multimodal semi-supervised learning for image classification, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
M. Guillaumin, J. Verbeek, C. Schmid, Multimodal semi-supervised learning for image classification, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, pp. 902-909.
-
(2010)
, pp. 902-909
-
-
Guillaumin, M.1
Verbeek, J.2
Schmid, C.3
-
12
-
-
23244467688
-
-
Multiple kernel learning, conic duality, and the smo algorithm, in: Proceedings of the International Conference on Machine Learning
-
F. Bach, G. Lanckriet, M. Jordan, Multiple kernel learning, conic duality, and the smo algorithm, in: Proceedings of the International Conference on Machine Learning, 2004, p. 6.
-
(2004)
, pp. 6
-
-
Bach, F.1
Lanckriet, G.2
Jordan, M.3
-
13
-
-
57249084590
-
-
Rakotomamonjy A., Bach F., Canu S., Grandvalet Y., et al. SimpleMKL. J. Mach. Learn. Res. 2008, 9:2491-2521.
-
(2008)
SimpleMKL J. Mach. Learn. Res.
, vol.9
, pp. 2491-2521
-
-
Rakotomamonjy, A.1
Bach, F.2
Canu, S.3
Grandvalet, Y.4
-
15
-
-
84897795371
-
-
Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression, in: IEEE International Conference on Image Processing
-
W. Xie, Z. Lu, Y. Peng, J. Xiao, Multimodal semi-supervised image classification by combining tag refinement, graph-based learning and support vector regression, in: IEEE International Conference on Image Processing, 2013, pp. 4307-4311.
-
(2013)
, pp. 4307-4311
-
-
Xie, W.1
Lu, Z.2
Peng, Y.3
Xiao, J.4
-
16
-
-
70449621223
-
-
The MIR Flickr retrieval evaluation, in: Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval
-
M. Huiskes, M. Lew, The MIR Flickr retrieval evaluation, in: Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval, 2008, pp. 39-43.
-
(2008)
, pp. 39-43
-
-
Huiskes, M.1
Lew, M.2
-
17
-
-
74049158146
-
-
Nus-wide: a real-world web image database from National University of Singapore, in: Proceedings of the ACM International Conference on Image and Video Retrieval
-
T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng, Nus-wide: a real-world web image database from National University of Singapore, in: Proceedings of the ACM International Conference on Image and Video Retrieval, 2009, pp. 1-9.
-
(2009)
, pp. 1-9
-
-
Chua, T.-S.1
Tang, J.2
Hong, R.3
Li, H.4
Luo, Z.5
Zheng, Y.6
-
19
-
-
70350333307
-
Learning social tag relevance by neighbor voting
-
Li X., Snoek C., Worring M. Learning social tag relevance by neighbor voting. IEEE Trans. Multimed. 2009, 11(7):1310-1322.
-
(2009)
IEEE Trans. Multimed.
, vol.11
, Issue.7
, pp. 1310-1322
-
-
Li, X.1
Snoek, C.2
Worring, M.3
-
20
-
-
84865655650
-
-
Tag ranking, in: Proceedings of the 18th International Conference on World Wide Web
-
D. Liu, X. Hua, L. Yang, M. Wang, H. Zhang, Tag ranking, in: Proceedings of the 18th International Conference on World Wide Web, 2009, pp. 351-360.
-
(2009)
, pp. 351-360
-
-
Liu, D.1
Hua, X.2
Yang, L.3
Wang, M.4
Zhang, H.5
-
21
-
-
77956007413
-
-
Tag-based web photo retrieval improved by batch mode re-tagging, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
-
L. Chen, D. Xu, I. Tsang, J. Luo, Tag-based web photo retrieval improved by batch mode re-tagging, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, pp. 3440-3446.
-
(2010)
, pp. 3440-3446
-
-
Chen, L.1
Xu, D.2
Tsang, I.3
Luo, J.4
-
22
-
-
72449152893
-
-
Tag refinement by regularized lda, in: Proceedings of the 17th ACM International Conference on Multimedia
-
H. Xu, J. Wang, X. Hua, S. Li, Tag refinement by regularized lda, in: Proceedings of the 17th ACM International Conference on Multimedia, 2009, pp. 573-576.
-
(2009)
, pp. 573-576
-
-
Xu, H.1
Wang, J.2
Hua, X.3
Li, S.4
-
23
-
-
78650977486
-
-
Image tag refinement towards low-rank, content-tag prior and error sparsity, in: Proceedings of the International Conference on Multimedia
-
G. Zhu, S. Yan, Y. Ma, Image tag refinement towards low-rank, content-tag prior and error sparsity, in: Proceedings of the International Conference on Multimedia, 2010, pp. 461-470.
-
(2010)
, pp. 461-470
-
-
Zhu, G.1
Yan, S.2
Ma, Y.3
-
24
-
-
78650978804
-
-
Image retagging, in: Proceedings of the International Conference on Multimedia
-
D. Liu, X. Hua, M. Wang, H. Zhang, Image retagging, in: Proceedings of the International Conference on Multimedia, 2010, pp. 491-500.
-
(2010)
, pp. 491-500
-
-
Liu, D.1
Hua, X.2
Wang, M.3
Zhang, H.4
-
25
-
-
84899942862
-
-
Wordnet: An Electronic Lexical Database
-
G. Miller, C. Fellbaum, Wordnet: An Electronic Lexical Database, 1998.
-
(1998)
-
-
Miller, G.1
Fellbaum, C.2
-
26
-
-
84899006908
-
-
Learning with local and global consistency, in: Advances in Neural Information Processing Systems
-
D. Zhou, O. Bousquet, T. Lal, J. Weston, B. Schölkopf, Learning with local and global consistency, in: Advances in Neural Information Processing Systems, vol. 16, 2004, pp. 321-328.
-
(2004)
, vol.16
, pp. 321-328
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.3
Weston, J.4
Schölkopf, B.5
-
27
-
-
1942484430
-
-
Semi-supervised learning using gaussian fields and harmonic functions, in: Proceedings of the International Conference on Machine Learning
-
X. Zhu, Z. Ghahramani, J. Lafferty, et al., Semi-supervised learning using gaussian fields and harmonic functions, in: Proceedings of the International Conference on Machine Learning, 2003, pp. 912-919.
-
(2003)
, pp. 912-919
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.3
-
28
-
-
33750729556
-
Manifold regularization: a geometric framework for learning from labeled and unlabeled examples
-
Belkin M., Niyogi P., Sindhwani V. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. J. Mach. Learn. Res. 2006, 7:2399-2434.
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
29
-
-
27544435126
-
Fast protein classification with multiple networks
-
Tsuda K., Shin H., Schölkopf B. Fast protein classification with multiple networks. Bioinformatics 2005, 21(Suppl. 2):ii59-ii65.
-
(2005)
Bioinformatics
, vol.21
, Issue.SUPPL. 2
-
-
Tsuda, K.1
Shin, H.2
Schölkopf, B.3
-
31
-
-
47549107689
-
Genemania: a real-time multiple association network integration algorithm for predicting gene function
-
Mostafavi S., Ray D., Warde-Farley D., Grouios C., Morris Q., et al. Genemania: a real-time multiple association network integration algorithm for predicting gene function. Genome Biol. 2008, 9:S4-S15.
-
(2008)
Genome Biol.
, vol.9
-
-
Mostafavi, S.1
Ray, D.2
Warde-Farley, D.3
Grouios, C.4
Morris, Q.5
-
32
-
-
77954309042
-
Fast integration of heterogeneous data sources for predicting gene function with limited annotation
-
Mostafavi S., Morris Q. Fast integration of heterogeneous data sources for predicting gene function with limited annotation. Bioinformatics 2010, 26(14):1759-1765.
-
(2010)
Bioinformatics
, vol.26
, Issue.14
, pp. 1759-1765
-
-
Mostafavi, S.1
Morris, Q.2
-
33
-
-
77954269901
-
The genemania prediction server: biological network integration for gene prioritization and predicting gene function
-
Warde-Farley D., Donaldson S.L., Comes O., Zuberi K., Badrawi R., Chao P., Franz M., Grouios C., Kazi F., Lopes C.T., et al. The genemania prediction server: biological network integration for gene prioritization and predicting gene function. Nucleic Acids Res. 2010, 38:W214-W220.
-
(2010)
Nucleic Acids Res.
, vol.38
-
-
Warde-Farley, D.1
Donaldson, S.L.2
Comes, O.3
Zuberi, K.4
Badrawi, R.5
Chao, P.6
Franz, M.7
Grouios, C.8
Kazi, F.9
Lopes, C.T.10
-
34
-
-
84899965036
-
-
On kernel-target alignment, in: Advances in Neural Information Processing Systems
-
N. Cristianini, J. Shawe-Taylor, A. Elisseeff, J.S. Kandola, On kernel-target alignment, in: Advances in Neural Information Processing Systems, 2001, pp. 367-373.
-
(2001)
, pp. 367-373
-
-
Cristianini, N.1
Shawe-Taylor, J.2
Elisseeff, A.3
Kandola, J.S.4
-
35
-
-
84864060454
-
-
Combining graph Laplacians for semi-supervised learning, in: Advances in Neural Information Processing Systems
-
A. Argyriou, M. Herbster, M. Pontil, Combining graph Laplacians for semi-supervised learning, in: Advances in Neural Information Processing Systems, 2005, pp. 67-74.
-
(2005)
, pp. 67-74
-
-
Argyriou, A.1
Herbster, M.2
Pontil, M.3
-
36
-
-
67249090373
-
Unified video annotation via multigraph learning
-
Wang M., Hua X.-S., Hong R., Tang J., Qi G.-J., Song Y. Unified video annotation via multigraph learning. IEEE Trans. Circuits Syst. Video Technol. 2009, 19(5):733-746.
-
(2009)
IEEE Trans. Circuits Syst. Video Technol.
, 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
-
37
-
-
84899971413
-
-
Multiple graph label propagation by sparse integration, IEEE Trans. Neural Netw. Learn. Syst.
-
M. Karasuyama, H. Mamitsuka, Multiple graph label propagation by sparse integration, IEEE Trans. Neural Netw. Learn. Syst.
-
-
-
Karasuyama, M.1
Mamitsuka, H.2
-
38
-
-
33749580724
-
-
Linear prediction models with graph regularization for web-page categorization, in: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM
-
T. Zhang, A. Popescul, B. Dom, Linear prediction models with graph regularization for web-page categorization, in: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2006, pp. 821-826.
-
(2006)
, pp. 821-826
-
-
Zhang, T.1
Popescul, A.2
Dom, B.3
-
39
-
-
77952381653
-
-
Image annotation with tagprop on the mirflickr set, in: Proceedings of the International Conference on Multimedia Information Retrieval
-
J. Verbeek, M. Guillaumin, T. Mensink, C. Schmid, Image annotation with tagprop on the mirflickr set, in: Proceedings of the International Conference on Multimedia Information Retrieval, 2010, pp. 537-546.
-
(2010)
, pp. 537-546
-
-
Verbeek, J.1
Guillaumin, M.2
Mensink, T.3
Schmid, C.4
-
42
-
-
79955702502
-
LIBSVM: a library for support vector machines
-
Chang C., Lin C. LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2011, 2(3):27.
-
(2011)
ACM Trans. Intell. Syst. Technol.
, vol.2
, Issue.3
, pp. 27
-
-
Chang, C.1
Lin, C.2
-
43
-
-
84899932982
-
-
Parallelizing support vector machines on distributed computers, in: Advances in Neural Information Processing Systems
-
K. Zhu, H. Wang, H. Bai, J. Li, Z. Qiu, H. Cui, E.Y. Chang, Parallelizing support vector machines on distributed computers, in: Advances in Neural Information Processing Systems, 2007, pp. 257-264.
-
(2007)
, pp. 257-264
-
-
Zhu, K.1
Wang, H.2
Bai, H.3
Li, J.4
Qiu, Z.5
Cui, H.6
Chang, E.Y.7
-
44
-
-
3042535216
-
Distinctive image features from scale-invariant keypoints
-
Lowe D.G. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 2004, 60(2):91-110.
-
(2004)
Int. J. Comput. Vis.
, vol.60
, Issue.2
, pp. 91-110
-
-
Lowe, D.G.1
-
45
-
-
0035328421
-
Modeling the shape of the scene: a holistic representation of the spatial envelope
-
Oliva A., Torralba A. Modeling the shape of the scene: a holistic representation of the spatial envelope. Int. J. Comput. Vis. 2001, 42(3):145-175.
-
(2001)
Int. J. Comput. Vis.
, vol.42
, Issue.3
, pp. 145-175
-
-
Oliva, A.1
Torralba, A.2
-
46
-
-
84872258670
-
Manifold regularized multi-task learning for semi-supervised multi-label image classification
-
Luo Y., Tao D., Geng B., Xu C., Maybank S. Manifold regularized multi-task learning for semi-supervised multi-label image classification. IEEE Trans. Image Process. 2013, 22(2):523-536.
-
(2013)
IEEE Trans. Image Process.
, vol.22
, Issue.2
, pp. 523-536
-
-
Luo, Y.1
Tao, D.2
Geng, B.3
Xu, C.4
Maybank, S.5
|