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cijo jose
cijo jose
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Title
Cited by
Cited by
Year
Scalable metric learning via weighted approximate rank component analysis
C Jose, F Fleuret
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
1592016
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
1302013
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
1002018
Kronecker recurrent units
C Jose, M Cissé, F Fleuret
International Conference on Machine Learning, 2380-2389, 2018
402018
Importance sampling tree for large-scale empirical expectation
O Canévet, C Jose, F Fleuret
International Conference on Machine Learning, 1454-1462, 2016
242016
The Wildtrack Multi-Camera Person Dataset
T Chavdarova, P Baqué, S Bouquet, A Maksai, C Jose, L Lettry, P Fua, ...
Conference on Computer Vision and Pattern Recognition, 2018
82018
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
32017
Learning embeddings: efficient algorithms and applications
C Jose
EPFL, 2018
2018
Formal Name (English) L'IDIAP Laboratory
C Atanasoaei, SO Ba, S Bengio, JI Biel Tres, R Boghetti, H Bourlard, ...
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
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Articles 1–12