R. Balcan, M. Blum, A. Srebro, and N. , Improved Guarantees for Learning via Similarity Functions, COLT, pp.287-298, 2008.

R. Chatpatanasiri, T. Korsrilabutr, P. Tangchanachaianan, and B. Kijsirikul, A new kernelization framework for Mahalanobis distance learning algorithms, Neurocomputing, vol.73, issue.10-12, pp.1570-1579, 2010.
DOI : 10.1016/j.neucom.2009.11.037

G. Chechik, U. Shalit, V. Sharma, and S. Bengio, An Online Algorithm for Large Scale Image Similarity Learning, NIPS, pp.306-314, 2009.

J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon, Information-theoretic metric learning, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.209-216, 2007.
DOI : 10.1145/1273496.1273523

P. Jain, B. Kulis, I. S. Dhillon, and K. Grauman, Online Metric Learning and Fast Similarity Search, NIPS, pp.761-768, 2008.

P. Kar and P. Jain, Similarity-based Learning via Data Driven Embeddings, NIPS, 2011.

A. M. Qamar, Generalized Cosine and Similarity Metrics: A supervised learning approach based on nearestneighbors, 2010.

B. Schölkopf, A. Smola, and K. Mller, Nonlinear Component Analysis as a Kernel Eigenvalue Problem, Neural Computation, vol.20, issue.5, pp.1299-1319, 1998.
DOI : 10.1007/BF02281970

M. Schultz and T. Joachims, Learning a Distance Metric from Relative Comparisons, NIPS, 2003.

S. Shalev-shwartz, Y. Singer, and A. Ng, Online and batch learning of pseudo-metrics, Twenty-first international conference on Machine learning , ICML '04, 2004.
DOI : 10.1145/1015330.1015376

K. Q. Weinberger and L. K. Saul, Distance Metric Learning for Large Margin Nearest Neighbor Classification, JMLR, vol.10, pp.207-244, 2009.

Y. Ying, K. Huang, and C. Campbell, Sparse Metric Learning via Smooth Optimization, NIPS, pp.2214-2222, 2009.

J. Zhu, S. Rosset, T. Hastie, and R. Tibshirani, 1-norm Support Vector Machines, NIPS, pp.49-56, 2003.