| Scalable metric learning via weighted approximate rank component analysis C Jose, F Fleuret European conference on computer vision, 875-890, 2016 | 117 | 2016 |
| Local deep kernel learning for efficient non-linear svm prediction C Jose, P Goyal, P Aggrwal, M Varma International conference on machine learning, 486-494, 2013 | 102 | 2013 |
| Kronecker recurrent units C Jose, M Cissé, F Fleuret International Conference on Machine Learning, 2380-2389, 2018 | 24 | 2018 |
| WILDTRACK: A multi-camera HD dataset for dense unscripted pedestrian detection T Chavdarova, P Baqué, S Bouquet, A Maksai, C Jose, T Bagautdinov, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 13 | 2018 |
| Importance sampling tree for large-scale empirical expectation O Canévet, C Jose, F Fleuret International Conference on Machine Learning, 1454-1462, 2016 | 12 | 2016 |
| The Wildtrack Multi-Camera Person Dataset T Chavdarova, P Baqué, S Bouquet, A Maksai, C Jose, L Lettry, P Fua, ... arXiv preprint arXiv:1707.09299, 2017 | 5 | 2017 |
| Learning embeddings: efficient algorithms and applications C Jose EPFL, 2018 | | 2018 |
| WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection–Supplementary Material– T Chavdarova, P Baqué, S Bouquet, A Maksai, C Jose, T Bagautdinov, ... | | |
| Kronecker Recurrent Units: Supplementary Material C Jose, M Cissé, F Fleuret | | |
| Importance Sampling Tree for Large-scale Empirical Expectation (supplementary material) O Canévet, I CH, C Jose, F Fleuret | | |
François FleuretIdiapEmail verificata su fleuret.org
