Learning neighborhoods for metric learning

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

Volumn 7523 LNAI, Issue PART 1, 2012, Pages 223-236

  Wang, Jun ^a,b   Woznica, Adam ^a,b   Kalousis, Alexandros ^a,b  

^a UNIVERSITY OF GENEVA   (Switzerland)

^b University of Applied Sciences   (Switzerland)

Author keywords

Metric Learning; Neighborhood Learning

Indexed keywords

DATA SETS; FEATURE SPACE; HIGH QUALITY; ITERATIVE APPROACH; LEARNING TASKS; METRIC LEARNING; NEIGHBORHOOD LEARNING; NEIGHBORHOOD RELATION; PREDICTIVE PERFORMANCE; STATE-OF-THE-ART PERFORMANCE;

ITERATIVE METHODS; LEARNING ALGORITHMS;

LEARNING SYSTEMS;

EID: 84866856215     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33460-3_20     Document Type: Conference Paper

References (20)

1. Bezdek, J.C., Hathaway, R.J.: Some Notes on Alternating Optimization. In: Pal, N.R., Sugeno, M. (eds.) AFSS 2002. LNCS (LNAI), vol. 2275, pp. 288-300. Springer, Heidelberg (2002)
2. Davis, J.V., Kulis, B., Jain, P., Sra, S., Dhillon, I.S.: Information-theoretic metric learning. In: Proceedings of the 24th International Conference on Machine Learning. ACM, New York (2007)
3. Globerson, A., Roweis, S.: Metric learning by collapsing classes. In: Advances in Neural Information Processing Systems, vol. 18, MIT Press (2006)
4. Goldberger, J., Roweis, S., Hinton, G., Salakhutdinov, R.: Neighbourhood components analysis. In: Advances in Neural Information Processing Systems, vol. 17, MIT Press (2005)
5. Guillaumin, M., Verbeek, J., Schmid, C.: Is that you? Metric learning approaches for face identification. In: Proceedings of 12th International Conference on Computer Vision, pp. 498-505 (2009)
6. Jebara, T., Wang, J., Chang, S.-F.: Graph construction and b-matching for semisupervised learning. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 441-448. ACM, New York (2009)
7. Kalousis, A., Prados, J., Hilario, M.: Stability of feature selection algorithms: a study on high-dimensional spaces. Knowledge and Information Systems 12(1), 95-116 (2007)
8. LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proceedings of the IEEE 86, 2278-2324 (1998)
9. Lu, Z., Jain, P., Dhillon, I.S.: Geometry-aware metric learning. In: Proceedings of the 26th Annual International Conference on Machine Learning. ACM Press, New York (2009)
10. Nguyen, N., Guo, Y.: Metric Learning: A Support Vector Approach. In: Daelemans, W., Goethals, B., Morik, K. (eds.) ECML PKDD 2008, Part II. LNCS (LNAI), vol. 5212, pp. 125-136. Springer, Heidelberg (2008)
11. Roweis, S., Saul, L.: Nonlinear dimensionality reduction by locally linear embedding. Science 22, 2323-2326 (2000)
12. Schrijver, A.: Theory of linear and integer programming. John Wiley & Sons Inc. (1998)
13. Schultz, M., Joachims, T.: Learning a distance metric from relative comparisons. In: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, p. 41. MIT Press (2004)
14. Sierksma, G.: Linear and integer programming: theory and practice. CRC (2002)
15. von Luxburg, U.: A tutorial on spectral clustering. Statistics and Computing 17, 395-416 (2007)
16. Wang, J., Do, H., Woznica, A., Kalousis, A.: Metric learning with multiple kernels. In: Advances in Neural Information Processing Systems. MIT Press (2011)
17. Weinberger, K., Blitzer, J., Saul, L.: Distance metric learning for large margin nearest neighbor classification. In: Advances in Neural Information Processing Systems, vol. 18, MIT Press (2006)
18. Weinberger, K.Q., Saul, L.K.: Distance metric learning for large margin nearest neighbor classification. The Journal of Machine Learning Research 10, 207-244 (2009)
19. Xing, E.P., Ng, A.Y., Jordan, M.I., Russell, S.: Distance metric learning with application to clustering with side-information. In: Advances in Neural Information Processing Systems. MIT Press (2003)
20. Yang, Z., Laaksonen, J.: Regularized Neighborhood Component Analysis. In: Ersbøll, B.K., Pedersen, K.S. (eds.) SCIA 2007. LNCS, vol. 4522, pp. 253-262. Springer, Heidelberg (2007)