Similarity component analysis

Advances in Neural Information Processing Systems

Volumn , Issue , 2013, Pages

  Changpinyo, Soravit ^a   Liu, Kuan ^a   Sha, Fei ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPONENT ANALYSIS; EXPLORATORY ANALYSIS; MEASURING SIMILARITIES; MULTI-WAY CLASSIFICATION; PAIR-WISE COMPARISON; PREDICTION ACCURACY; PROBABILISTIC GRAPHICAL MODELS; SYNTHETIC DATASETS;

EID: 84898947326     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. NIPS0-12 dataset. http://www.stats.ox.ac.uk/~teh/data.html.
2. I. Abraham, S. Chechik, D. Kempe, and A. Slivkins. Low-distortion Inference of Latent Similarities from a Multiplex Social Network. CoRR, abs/1202.0922, 2012.
3. E. M. Airoldi, D. M. Blei, S. E. Fienberg, and E. P. Xing. Mixed Membership Stochastic Blockmodels. Journal of Machine Learning Research, 9:1981-2014, June 2008.
4. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent Dirichlet Allocation. Journal of Machine Learning Research, 3:993-1022, 2003.
5. J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon. Information-theoretic Metric Learning. In ICML, 2007.
6. S. E. Fienberg, M. M. Meyer, and S. S.Wasserman. Statistical Analysis of Multiple Sociometric Relations. Journal of the American Statistical Association, 80(389):51-67, March 1985.
7. A. Globerson and S. Roweis. Metric Learning by Collapsing Classes. In NIPS, 2005.
8. J. Goldberger, S. Roweis, G. Hinton, and R. Salakhutdinov. Neighbourhood Components Analysis. In NIPS, 2004.
9. S. Hauberg, O. Freifeld, and M. Black. A Geometric take on Metric Learning. In NIPS, 2012.
10. T. S. Jaakkola and M. I. Jordan. Variational Probabilistic Inference and the QMR-DT Network. Journal of Artificial Intelligence Research, 10(1):291-322, May 1999.
11. P. Jain, B. Kulis, I. Dhillon, and K. Grauman. Online Metric Learning and Fast Similarity Search. In NIPS, 2008.
12. D. Lin. An Information-Theoretic Definition of Similarity. In ICML, 1998.
13. S. Parameswaran and K. Weinberger. Large Margin Multi-Task Metric Learning. In NIPS, 2010.
14. J. Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 1988.
15. M. Szell, R. Lambiotte, and S. Thurner. Multirelational Organization of Large-scale Social Networks in an Online World. Proceedings of the National Academy of Sciences, 2010.
16. L. van der Maaten and G. Hinton. Visualizing Non-Metric Similarities in Multiple Maps. Machine Learning, 33:33-55, 2012.
17. J.Wang, A.Woznica, and A. Kalousis. Parametric Local Metric Learning for Nearest Neighbor Classification. In NIPS, 2012.
18. K. Q. Weinberger and L. K. Saul. Distance Metric Learning for Large Margin Nearest Neighbor Classification. Journal of Machine Learning Research, 10:207-244, 2009.
19. E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russell. Distance Metric Learning, with Application to Clustering with Side-information. In NIPS, 2002.