B. Blum-a, On a Theory of Learning with Similarity Functions, ICML, pp.73-80, 2006.

B. Blum-a and . Srebro-n, Improved Guarantees for Learning via Similarity Functions, COLT, pp.287-298, 2008.

B. O. Elisseeff-a, Stability and Generalization, JMLR, vol.2, pp.499-526, 2002.

C. R. Korsrilabutr-t and T. P. Kijsirikul-b, A new kernelization framework for Mahalanobis distance learning algorithms, Neurocomputing, vol.73, pp.1570-1579, 2010.

C. G. Shalit-u, . Sharma-v, and . Bengio-s, An Online Algorithm for Large Scale Image Similarity Learning, NIPS, pp.306-314, 2009.

D. J. Kulis-b, S. S. Jain-p, and . S. Dhillon-i, Information-theoretic metric learning, ICML, pp.209-216, 2007.

F. A. Singer-y and S. F. Malik, Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification, ICCV, pp.1-8, 2007.

J. P. Kulis-b, . S. Dhillon-i, and . Grauman-k, Online Metric Learning and Fast Similarity Search, NIPS, pp.761-768, 2008.

K. P. Jain-p, Similarity-based Learning via Data Driven Embeddings, NIPS, 2011.

S. B. and S. A. Mã-ller-k.-r, Nonlinear component analysis as a kernel eigenvalue problem, Neural Computation, vol.10, issue.41, pp.1299-1319, 1998.

S. M. Joachims-t, Learning a Distance Metric from Relative Comparisons, NIPS, 2003.

S. S. Singer-y and . Y. Ng-a, Online and batch learning of pseudometrics, ICML, 2004.

W. K. Saul-l, Distance Metric Learning for Large Margin Nearest Neighbor Classification, JMLR, vol.10, pp.207-244, 2009.

Y. Y. Huang-k and . Campbell-c, Sparse Metric Learning via Smooth Optimization, NIPS, pp.2214-2222, 2009.

Z. J. , R. S. Hastie-t, and . Tibshirani-r, 1-norm Support Vector Machines, NIPS, pp.49-56, 2003.