Metric learning using Iwasawa decomposition

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2007, Pages

  Jian, Bing ^a   Vemuri, Baba C ^a  

^a University of Florida   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; COMPUTER VISION; EDUCATION; IMAGE PROCESSING; LEARNING SYSTEMS; MATHEMATICAL PROGRAMMING; MATRIX ALGEBRA; TURBULENT FLOW;

METRIC LEARNING;

LEARNING ALGORITHMS;

EID: 50649089766     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408846     Document Type: Conference Paper

References (15)

1. A. Asuncion and D. J. Newman. UCI machine learning repository, 2007.
2. A. Bar-Hillel, T. Hertz, N. Shental, and D. Weinshall. Learning a Mahalanobis metric from equivalence constraints. Journal of Machine Learning Research, 6:937-965, 2005.
3. H. Benson and R. Vanderbei. Solving problems with semidefinite and related constraints using interior-point methods for nonlinear programming. Mathematical Programming, 95:279-302, 2003.
4. M. Bilenko and R. J. Mooney. Adaptive duplicate detection using learnable string similarity measures. In KDD, 2003.
5. S. H. Cheng and N. J. Higham. A modified Cholesky algorithm based on a symmetric indefinite factorization. SIAM Journal on Matrix Analysis and Applications, 19(4), 1998.
6. A. Globerson and S. Roweis. Metric learning by collapsing classes. In NIPS, 2005.
7. J. Goldberger, S. T. Roweis, G. E. Hinton, and R. Salakhutdinov. Neighbourhood components analysis. In NIPS, 2004.
8. M. Schultz and T. Joachims. Learning a distance metric from relative comparisons. In NIPS, 2003.
9. A. Terras. Harmonic Analysis on Symmetric Spaces and Applications, vol2. Springer, 1985.
10. L. Torresani and K. Lee. Large margin component analysis. In NIPS, 2006.
11. K. Tsuda, G. Rätsch, and M. K. Warmuth. Matrix exponentiated gradient updates for on-line learning and bregman projection. Journal of Machine Learning Research, 6:995-1018, 2005.
12. L. Vandenberghe and S. Boyd. Semidefinite programming. SIAM Review, 38(1):49-95, 1996.
13. K. Weinberger, J. Blitzer, and L. Saul. Distance metric learning for large margin nearest neighbor classification. In NIPS, 2005.
14. E. P. Xing, A. Y. Ng, M. I. Jordan, and S. J. Russell. Distance metric learning with application to clustering with side-information. In NIPS, pages 505.512, 2002.
15. L. Yang, R. Jin, R. Sukthankar, and Y. Liu. An efficient algorithm for local distance metric learning. In AAAI, 2006.