Sparse compositional metric learning

Proceedings of the National Conference on Artificial Intelligence

Volumn 3, Issue , 2014, Pages 2078-2084

  Shi, Yuan ^a   Bellet, Aurélien ^a   Sha, Fei ^a  

^a University of Southern California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

METRIC LEARNING;

EID: 84908160179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. Argyriou, A.; Evgeniou, T.; and Pontil, M. 2008. Convex multi-task feature learning. Mach. Learn. 73(3):243-272.
2. Bellet, A., and Habrard, A. 2012. Robustness and Generalization for Metric Learning. Technical report, arXiv:1209.1086.
3. Bellet, A.; Habrard, A.; and Sebban, M. 2013. A Survey on Metric Learning for Feature Vectors and Structured Data. Technical report, arXiv: 1306.6709.
4. Blitzer, J.; Dredze, M.; and Pereira, F. 2007. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification. In ACL.
5. Caruana, R. 1997. Multitask Learning. Mach. Learn. 28(1):41-75.
6. Davis, J.; Kulis, B.; Jain, P.; Sra, S.; and Dhillon, I. 2007. Information-theoretic metric learning. In ICML.
7. Duchi, J., and Singer, Y. 2009. Efficient Online and Batch Learning Using Forward Backward Splitting. JMLR 10:2899-2934.
8. Frome, A.; Singer, Y.; Sha, F.; and Malik, J. 2007. Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification. In ICCV.
9. Goldberger, J.; Roweis, S.; Hinton, G.; and Salakhutdinov, R. 2004. Neighbourhood Components Analysis. In NIPS.
10. Gong, P.; Ye, J.; and Zhang, C. 2012. Robust multi-task feature learning. In KDD.
11. Hauberg, S.; Freifeld, O.; and Black, M. 2012. A Geometric take on Metric Learning. In NIPS.
12. Hong, Y.; Li, Q.; Jiang, J.; and Tu, Z. 2011. Learning a mixture of sparse distance metrics for classification and dimensionality reduction. In CVPR.
13. Jain, P.; Kulis, B.; Dhillon, I.; and Grauman, K. 2008. Online Metric Learning and Fast Similarity Search. In NIPS.
14. Kulis, B. 2012. Metric Learning: A Survey. Foundations and Trends in Machine Learning 5(4):287-364.
15. Noh, Y.-K.; Zhang, B.-T.; and Lee, D. 2010. Generative Local Metric Learning for Nearest Neighbor Classification. In NIPS.
16. Parameswaran, S., and Weinberger, K. 2010. Large Margin Multi-Task Metric Learning. In NIPS.
17. Ramanan, D., and Baker, S. 2011. Local Distance Functions: A Taxonomy, New Algorithms, and an Evaluation. TPAMI 33(4):794-806.
18. Schölkopf, B.; Smola, A.; and Müller, K.-R. 1998. Nonlinear component analysis as a kernel eigenvalue problem. Neural Comput. 10(1):1299-1319.
19. Shen, C.; Kim, J.; Wang, L.; and Van Den Hengel, A. 2012. Positive Semidefinite Metric Learning Using Boosting-like Algorithms. JMLR 13:1007-1036.
20. Shi, Y.; Bellet, A.; and Sha, F. 2014. Sparse Compositional Metric Learning. Technical report, arXiv: 1404.4105. http://arxiv.org/pdf/1404.4105.
21. Van Der Maaten, L., and Hinton, G. 2008. Visualizing Data using t-SNE. JMLR 9:2579-2605.
22. Wang, J.; Woznica, A.; and Kalousis, A. 2012. Parametric Local Metric Learning for Nearest Neighbor Classification. In NIPS.
23. Weinberger, K., and Saul, L. 2009. Distance Metric Learning for Large Margin Nearest Neighbor Classification. JMLR 10:207-244.
24. Xiao, L. 2010. Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization. JMLR 11:2543-2596.
25. Xing, E.; Ng, A.; Jordan, M.; and Russell, S. 2002. Distance Metric Learning with Application to Clustering with Side-Information. In NIPS.
26. Xu, H., and Mannor, S. 2012. Robustness and Generalization. Mach. Learn. 86(3):391-423.
27. Yang, X.; Kim, S.; and Xing, E. 2009. Heterogeneous multitask learning with joint sparsity constraints. In NIPS.
28. Ying, Y, and Li, P. 2012. Distance Metric Learning with Eigenvalue Optimization. JMLR 13:1-26.
29. Yuan, M., and Lin, Y 2006. Model selection and estimation in regression with grouped variables. J. Roy. Statist. Soc. Sen B 68:49-67.
30. Zhan, D.-C.; Li, M.; Li, Y.-K; and Zhou, Z.-H. 2009. Learning instance specific distances using metric propagation. In ICML.