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Project DASH
Name: DASH

Publications of DASH sorted by journal and type

Proceedings of the International Conference on Machine Learning (ICML) (2016)

Importance Sampling Tree for Large-scale Empirical Expectation, Olivier Canévet, Cijo Jose and Francois Fleuret, in: Proceedings of the International Conference on Machine Learning (ICML), New-York, 2016

Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (2016)

Large Scale Hard Sample Mining with Monte Carlo Tree Search, Olivier Canévet and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2016
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Proceedings of the 6th Asian Conference on Machine Learning (ACML) (2014)

Efficient Sample Mining for Object Detection, Olivier Canévet and Francois Fleuret, in: Proceedings of the 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014
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Sample Distillation for Object Detection and Image Classification, Olivier Canévet, Leonidas Lefakis and Francois Fleuret, in: Proceedings of the 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014
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Publications of type Phdthesis


2017

Object Detection with Active Sample Harvesting, Olivier Canévet, École Polytechnique Fédérale de Lausanne, 2017
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