A Survey on Metric Learning for Feature Vectors and Structured Data, 2013. ,
Metric Learning: A Survey, Foundations and Trends?? in Machine Learning, vol.5, issue.4, pp.287-364, 2012. ,
DOI : 10.1561/2200000019
Distance Metric Learning with Application to Clustering with Side-Information, Advances in Neural Information Processing Systems 15, pp.505-512, 2002. ,
Learning a Distance Metric from Relative Comparisons, Advances in Neural Information Processing Systems (NIPS) 16, 2003. ,
Information-theoretic metric learning, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.209-216, 2007. ,
DOI : 10.1145/1273496.1273523
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.4476
Online Metric Learning and Fast Similarity Search, Advances in Neural Information Processing Systems (NIPS) 21, pp.761-768, 2008. ,
Distance Metric Learning for Large Margin Nearest Neighbor Classification, Journal of Machine Learning Research (JMLR), vol.10, pp.207-244, 2009. ,
Sparse Metric Learning via Smooth Optimization, Advances in Neural Information Processing Systems (NIPS) 22, pp.2214-2222, 2009. ,
Metric Learning to Rank, Proceedings of the 27th International Conference on Machine Learning, pp.775-782, 2010. ,
An Online Algorithm for Large Scale Image Similarity Learning, Advances in Neural Information Processing Systems (NIPS) 22, pp.306-314, 2009. ,
Generalized Cosine and Similarity Metrics: A supervised learning approach based on nearest-neighbors, 2010. ,
URL : https://hal.archives-ouvertes.fr/tel-00591988
Similarity Learning for Provably Accurate Sparse Linear Classification, Proceedings of the 29th International Conference on Machine Learning (ICML), pp.1871-1878, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00708401
Guaranteed Classification via Regularized Similarity Learning, Neural Computation, vol.22, issue.1, pp.497-522, 2014. ,
DOI : 10.1162/0899766053491896
URL : http://arxiv.org/abs/1306.3108
Similarity-based Learning via Data Driven Embeddings, Advances in Neural Information Processing Systems (NIPS), pp.1998-2006, 2011. ,
Online and batch learning of pseudo-metrics, Twenty-first international conference on Machine learning , ICML '04, 2004. ,
DOI : 10.1145/1015330.1015376
Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions, Proceedings of the 25th Annual Conference on Learning Theory (COLT), 2012, pp.13-14 ,
Learning a Distance Metric by Empirical Loss Minimization, Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), pp.1186-1191, 2011. ,
Constrained Empirical Risk Minimization Framework for Distance Metric Learning, IEEE Transactions on Neural Networks and Learning Systems, vol.23, issue.8, pp.1194-1205, 2012. ,
DOI : 10.1109/TNNLS.2012.2198075
Regularized Distance Metric Learning: Theory and Algorithm, Advances in Neural Information Processing Systems (NIPS) 22, pp.862-870, 2009. ,
Stability and Generalization, Journal of Machine Learning Research (JMLR), vol.2, pp.499-526, 2002. ,
Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol.34, pp.187-193, 2012. ,
An Efficient Sparse Metric Learning in High-Dimensional Space via l1-Penalized Log- Determinant Regularization, Proceedings of the 26th International Conference on Machine Learning (ICML), 2009. ,
Robustness and generalization for metric learning, Neurocomputing, vol.151, 2012. ,
DOI : 10.1016/j.neucom.2014.09.044
URL : https://hal.archives-ouvertes.fr/hal-01075370
Generalization bounds for metric and similarity learning, Machine Learning, vol.13, issue.1, 2012. ,
DOI : 10.1007/s10994-015-5499-7
Robustness and generalization, Machine Learning, vol.75, issue.7, pp.391-423, 2012. ,
DOI : 10.1007/s10994-011-5268-1
Tikhomirov, ?-entropy and ?-capacity of sets in functional spaces, pp.277-364, 1961. ,
Weak convergence and empirical processes, 2000. ,
DOI : 10.1007/978-1-4757-2545-2
Mirror Descent for Metric Learning: A Unified Approach, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML/PKDD), pp.859-874, 2012. ,
DOI : 10.1007/978-3-642-33460-3_60
Parametric Local Metric Learning for Nearest Neighbor Classification, Advances in Neural Information Processing Systems (NIPS) 25, pp.1610-1618, 2012. ,
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms, CVPR 2011, pp.1785-1792, 2011. ,
DOI : 10.1109/CVPR.2011.5995702
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.2663
DAML: Domain Adaptation Metric Learning, IEEE Transactions on Image Processing, vol.20, issue.10, pp.2980-2989, 2011. ,
DOI : 10.1109/TIP.2011.2134107
Equivalence constants for certain matrix norms, Linear Algebra and its Applications, vol.374, pp.247-253, 2003. ,
DOI : 10.1016/S0024-3795(03)00616-5
) norm, Linear and Multilinear Algebra, vol.33, issue.4, pp.315-332, 1995. ,
DOI : 10.1080/03081087308817003