A Bayesian framework for learning shared and individual subspaces from multiple data sources

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6634 LNAI, Issue PART 1, 2011, Pages 136-147

  Gupta, Sunil Kumar ^a   Phung, Dinh ^a   Adams, Brett ^a   Venkatesh, Svetha ^a  

^a CURTIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; FACTORIZATION; LEARNING ALGORITHMS;

BAYESIAN FORMULATION; BAYESIAN FRAMEWORKS; HETEROGENEOUS DATA SOURCES; MULTIPLE DATA SOURCES; MUTUAL KNOWLEDGE; PARTIAL KNOWLEDGE; PROBABILISTIC MATRIX FACTORIZATIONS; SHARED STRUCTURES;

DATA MINING;

EID: 79957932816     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20841-6_12     Document Type: Conference Paper

References (14)

1. Baeza-Yates, R., Ribeiro-Neto, B.: Modern information retrieval. Addison-Wesley, Reading (1999)
2. Datta, R., Joshi, D., Li, J., Wang, J.: Image retrieval: ideas, influences, and trends of the new age. ACM Computing Surveys (CSUR) 40(2), 1-60 (2008)
3. Gelman, A.: Bayesian data analysis. CRC Press, Boca Raton (2004)
4. Gu, Q., Zhou, J.: Learning the shared subspace for multi-task clustering and transductive transfer classification. In: ICDM, pp. 159-168 (2009)
5. Gupta, S.K., Phung, D., Adams, B., Tran, T., Venkatesh, S.: Nonnegative shared subspace learning and its application to social media retrieval. In: SIGKDD, pp. 1169-1178 (2010)
6. Ji, S., Tang, L., Yu, S., Ye, J.: Extracting shared subspace for multi-label classification. SIGKDD, 381-389 (2008)
7. Li, X., Snoek, C.G.M.,Worring, M.: Learning social tag relevance by neighbor voting. IEEE Transactions on Multimedia 11(7), 1310-1322 (2009)
8. Mardia, K.V., Bibby, J.M., Kent, J.T.: Multivariate analysis. Academic Press, NY (1979)
9. Salakhutdinov, R.,Mnih, A.: Bayesian probabilistic matrix factorization using markov chain monte carlo. In: ICML, pp. 880-887 (2008)
10. Si, S., Tao, D., Geng, B.: Bregman divergence based regularization for transfer subspace learning. IEEE Transactions on Knowledge and Data Engineering 22(7), 929-942 (2009)
11. Sigurbjörnsson, B., Van Zwol, R.: Flickr tag recommendation based on collective knowledge. In: WWW, pp. 327-336 (2008)
12. Yan, R., Tesic, J., Smith, J.: Model-shared subspace boosting for multi-label classification. SIGKDD, 834-843 (2007)
13. Yang, Y., Xu, D., Nie, F., Luo, J., Zhuang, Y.: Ranking with local regression and global alignment for cross media retrieval. In: MM, pp. 175-184 (2009)
14. Yi, Y., Zhuang, Y., Wu, F., Pan, Y.: Harmonizing hierarchical manifolds for multimedia document semantics understanding and cross-media retrieval. IEEE Transactions on Multimedia 10(3), 437-446 (2008)