-
1
-
-
80052126248
-
Trust based recommender system for semantic web
-
Hyderabad, India, January AAAI Press
-
Punam Bedi, Harmeet Kaur, and Sudeep Marwaha. Trust based recommender system for semantic web. In Proceedings of the 20th International Joint Conference on Artificial Intelligence, pages 2677-2682, Hyderabad, India, January 2007. AAAI Press.
-
(2007)
Proceedings of the 20th International Joint Conference on Artificial Intelligence
, pp. 2677-2682
-
-
Bedi, P.1
Kaur, H.2
Marwaha, S.3
-
3
-
-
84861170800
-
Probabilistic topic models
-
David M. Blei. Probabilistic topic models. Communications of the ACM, 55(4):77-84, 2012.
-
(2012)
Communications of the ACM
, vol.55
, Issue.4
, pp. 77-84
-
-
Blei, D.M.1
-
4
-
-
77955989956
-
Data fusion through cross-modality metric learning using simi-larity-sensitive hashing
-
San Francisco, CA, USA, June IEEE Computer Society
-
Michael M. Bronstein, Alexander M. Bronstein, Fabrice Michel, and Nikos Paragios. Data fusion through cross-modality metric learning using simi-larity-sensitive hashing. In Proceedings of the 23rd IEEE International Conference on Computer Vision and Pattern Recognition, pages 3594-3601, San Francisco, CA, USA, June 2010. IEEE Computer Society.
-
(2010)
Proceedings of the 23rd IEEE International Conference on Computer Vision and Pattern Recognition
, pp. 3594-3601
-
-
Bronstein, M.M.1
Bronstein, A.M.2
Michel, F.3
Paragios, N.4
-
5
-
-
79959532395
-
Graph regularized nonnegative matrix factorization for data representation
-
Deng Cai, Xiaofei He, Jiawei Han, and T. S. Huang. Graph regularized nonnegative matrix factorization for data representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(8):1548-1560, 2011.
-
(2011)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.33
, Issue.8
, pp. 1548-1560
-
-
Cai, D.1
He, X.2
Han, J.3
Huang, T.S.4
-
6
-
-
33749255817
-
1-norm principal component analysis for robust subspace fac-torization
-
Pittsburgh, Pennsylvania, USA, June ACM
-
1-norm principal component analysis for robust subspace fac-torization. In Proceedings of the 23rd International Conference on Machine Learning, pages 281-288, Pittsburgh, Pennsylvania, USA, June 2006. ACM.
-
(2006)
Proceedings of the 23rd International Conference on Machine Learning
, pp. 281-288
-
-
Ding, C.1
Zhou, D.2
He, X.3
Zha, H.4
-
7
-
-
84911450457
-
Collective matrix factorization hashing for multimodal data
-
Columbus, OH, USA, June IEEE Computer Society
-
Guiguang Ding, Yuchen Guo, and Jile Zhou. Collective matrix factorization hashing for multimodal data. In Proceedings of the 27th IEEE International Conference on Computer Vision and Pattern Recognition, pages 2083-2090, Columbus, OH, USA, June 2014. IEEE Computer Society.
-
(2014)
Proceedings of the 27th IEEE International Conference on Computer Vision and Pattern Recognition
, pp. 2083-2090
-
-
Ding, G.1
Guo, Y.2
Zhou, J.3
-
8
-
-
83055187059
-
2,1-norm
-
Glasgow, United Kingdom, October ACM
-
2,1-norm. In Proceedings of the 20th ACM International Conference on Information and knowledge management, pages 673-682, Glasgow, United Kingdom, October 2011. ACM.
-
(2011)
Proceedings of the 20th ACM International Conference on Information and Knowledge Management
, pp. 673-682
-
-
Kong, D.1
Ding, C.2
Huanga, H.3
-
9
-
-
84866034209
-
Learning hash functions for cross-view similarity search
-
Barcelona, Catalonia, Spain, July AAAI Press
-
Shaishav Kumar and Raghavendra Udupa. Learning hash functions for cross-view similarity search. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence, pages 1360-1367, Barcelona, Catalonia, Spain, July 2011. AAAI Press.
-
(2011)
Proceedings of the 22nd International Joint Conference on Artificial Intelligence
, pp. 1360-1367
-
-
Kumar, S.1
Udupa, R.2
-
10
-
-
0033592606
-
Learning the parts of objects by non-negative matrix factorization
-
Daniel D. Lee and Sebastian H. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, 1999.
-
(1999)
Nature
, vol.401
, Issue.6755
, pp. 788-791
-
-
Lee, D.D.1
Seung, S.H.2
-
11
-
-
84880548516
-
Inter-media hashing for large-scale retrieval from heterogeneous data sources
-
Ahmedabad, India, December Computer Society of India
-
Jingkuan Song, Yang Yang, Yi Yang, Zi Huang, and Hengtao Shen. Inter-media hashing for large-scale retrieval from heterogeneous data sources. In Proceedings of the 19th International Conference on Management of Data, pages 785-796, Ahmedabad, India, December 2013. Computer Society of India.
-
(2013)
Proceedings of the 19th International Conference on Management of Data
, pp. 785-796
-
-
Song, J.1
Yang, Y.2
Yi, Y.3
Zi, H.4
Shen, H.5
-
12
-
-
84858779327
-
Spectral hashing
-
Vancouver, British Columbia, Canada, December Curran Associates
-
Yair Weiss, Antonio Torralba, and Rob Fergus. Spectral hashing. In Proceedings of the 23rd Annual Conference on Neural Information Processing Systems, pages 1753-1760, Vancouver, British Columbia, Canada, December 2009. Curran Associates.
-
(2009)
Proceedings of the 23rd Annual Conference on Neural Information Processing Systems
, pp. 1753-1760
-
-
Weiss, Y.1
Torralba, A.2
Fergus, R.3
-
13
-
-
84867117593
-
Wsabie: Scaling up to large vocabulary image annotation
-
Barcelona, Catalonia, Spain, July AAAI Press
-
Jason Weston, Samy Bengio, and Ni colas Usunier. Wsabie: scaling up to large vocabulary image annotation. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence, pages 2764-2770, Barcelona, Catalonia, Spain, July 2011. AAAI Press.
-
(2011)
Proceedings of the 22nd International Joint Conference on Artificial Intelligence
, pp. 2764-2770
-
-
Weston, J.1
Bengio, S.2
Usunier, N.3
-
14
-
-
84896062612
-
Parametric local multimodal hashing for cross-view similarity search
-
Beijing, China, August AAAI Press
-
Deming Zhai, Hong Chang, Yi Zhen, Xi-anming Liu, Xilin Chen, and Wen Gao. Parametric local multimodal hashing for cross-view similarity search. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence, pages 2754-2760, Beijing, China, August 2013. AAAI Press.
-
(2013)
Proceedings of the 23rd International Joint Conference on Artificial Intelligence
, pp. 2754-2760
-
-
Zhai, D.1
Chang, H.2
Yi, Z.3
Liu, X.-A.4
Chen, X.5
Wen, G.6
-
15
-
-
80053437358
-
Godec: Randomized low-rank & sparse matrix decomposition in noisy case
-
Bellevue, Washington, USA, June ACM
-
Tianyi Zhou and Dacheng Tao. Godec: randomized low-rank & sparse matrix decomposition in noisy case. In Proceedings of the 28th International Conference on Machine Learning, pages 33-40, Bellevue, Washington, USA, June 2011. ACM.
-
(2011)
Proceedings of the 28th International Conference on Machine Learning
, pp. 33-40
-
-
Zhou, T.1
Tao, D.2
-
16
-
-
84904546285
-
Latent semantic sparse hashing for cross-modal similarity search
-
Gold Coast, QLD, Australia, July ACM
-
Jile Zhou, Guiguang Ding, and Yuhen Guo. Latent semantic sparse hashing for cross-modal similarity search. In Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 415-424, Gold Coast, QLD, Australia, July 2014. ACM.
-
(2014)
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
, pp. 415-424
-
-
Zhou, J.1
Ding, G.2
Guo, Y.3
-
17
-
-
84887418815
-
Linear cross-modal hashing for efficient multimedia search
-
Barcelona, Spain, October ACM
-
X. Zhu, Z. Huang, H. Shen, Z. Huang, and X. Zhao. Linear cross-modal hashing for efficient multimedia search. In Proceedings of the 21st ACM Multimedia Conference, pages 143-152, Barcelona, Spain, October 2013. ACM.
-
(2013)
Proceedings of the 21st ACM Multimedia Conference
, pp. 143-152
-
-
Zhu, X.1
Huang, Z.2
Shen, H.3
Huang, Z.4
Zhao, X.5
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