Amaury Habrard
Amaury Habrard
Professor of Computer Science, University Jean Monnet of Saint-Etienne (France)
Adresse e-mail validée de
Citée par
Citée par
Unsupervised visual domain adaptation using subspace alignment
B Fernando, A Habrard, M Sebban, T Tuytelaars
Proceedings of the IEEE international conference on computer vision, 2960-2967, 2013
A survey on metric learning for feature vectors and structured data
A Bellet, A Habrard, M Sebban
arXiv preprint arXiv:1306.6709, 2013
Optimal transport for domain adaptation
N Courty, R Flamary, D Tuia, A Rakotomamonjy
IEEE transactions on pattern analysis and machine intelligence 39 (9), 1853-1865, 2016
Metric learning
A Bellet, A Habrard, M Sebban
Synthesis Lectures on Artificial Intelligence and Machine Learning 9 (1), 1-151, 2015
A PAC-Bayesian approach for domain adaptation with specialization to linear classifiers
P Germain, A Habrard, F Laviolette, E Morvant
International conference on machine learning, 738-746, 2013
Similarity learning for provably accurate sparse linear classification
A Bellet, A Habrard, M Sebban
arXiv preprint arXiv:1206.6476, 2012
Robustness and generalization for metric learning
A Bellet, A Habrard
Neurocomputing 151, 259-267, 2015
Dict2vec: Learning word embeddings using lexical dictionaries
J Tissier, C Gravier, A Habrard
Learning probabilistic models of tree edit distance
M Bernard, L Boyer, A Habrard, M Sebban
Pattern Recognition 41 (8), 2611-2629, 2008
A polynomial algorithm for the inference of context free languages
A Clark, R Eyraud, A Habrard
International Colloquium on Grammatical Inference, 29-42, 2008
Theoretical analysis of domain adaptation with optimal transport
I Redko, A Habrard, M Sebban
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
Mapping estimation for discrete optimal transport
M Perrot, N Courty, R Flamary, A Habrard
Advances in Neural Information Processing Systems, 4197-4205, 2016
Majority vote of diverse classifiers for late fusion
E Morvant, A Habrard, S Ayache
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2014
Good edit similarity learning by loss minimization
A Bellet, A Habrard, M Sebban
Machine Learning 89 (1-2), 5-35, 2012
Regressive virtual metric learning
M Perrot, A Habrard
Advances in neural information processing systems, 1810-1818, 2015
A spectral approach for probabilistic grammatical inference on trees
R Bailly, A Habrard, F Denis
International Conference on Algorithmic Learning Theory, 74-88, 2010
Subspace alignment for domain adaptation
B Fernando, A Habrard, M Sebban, T Tuytelaars
arXiv preprint arXiv:1409.5241, 2014
Learning rational stochastic languages
F Denis, Y Esposito, A Habrard
International Conference on Computational Learning Theory, 274-288, 2006
Learning multiplicity tree automata
A Habrard, J Oncina
International Colloquium on Grammatical Inference, 268-280, 2006
Melody recognition with learned edit distances
A Habrard, JM Iñesta, D Rizo, M Sebban
Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2008
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20