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Francois Fleuret
First name(s): Francois
Last name(s): Fleuret

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Publications of Francois Fleuret sorted by recency
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Tracking Interacting Objects Optimally Using Integer Programming, Xinchao Wang, Engin Turetken, Francois Fleuret and Pascal Fua, in: Proceedings of the European Conference on Computer Vision, pages 17-32, 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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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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Jointly Informative Feature Selection, Leonidas Lefakis and Francois Fleuret, in: International Conference on Artificial Intelligence and Statistics, pages 567–575, 2014
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Adaptive Sampling for Large Scale Boosting, Charles Dubout and Francois Fleuret, in: Journal of Machine Learning Research, 15:1431-1453, 2014
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Re-Identification for Improved People Tracking, Francois Fleuret, Horesh Ben Shitrit and Pascal Fua, in: Person Re-Identification, pages 311-336, Springer, 2014
Reservoir Boosting : Between Online and Offline Ensemble Learning, Leonidas Lefakis and Francois Fleuret, in: Proceedings of the international conference on Neural Information Processing Systems, 2013
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Multi-Commodity Network Flow for Tracking Multiple People, Horesh Ben Shitrit, Jerome Berclaz, Francois Fleuret and Pascal Fua, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
Deformable Part Models with Individual Part Scaling, Charles Dubout and Francois Fleuret, in: British Machine Vision Conference, 2013
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Accelerated Training of Linear Object Detectors, Charles Dubout and Francois Fleuret, in: CVPR 2013 Workshop on Structured Prediction, 2013
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Fast Object Detection with Entropy-Driven Evaluation, Raphael Sznitman, Carlos Becker, Francois Fleuret and Pascal Fua, in: Proceedings of the Conference on Computer Vision and Pattern Recognition, 2013
treeKL: A distance between high dimension empirical distributions, Riwal Lefort and Francois Fleuret, in: Pattern Recognition Letters, 34(2):140-145, 2013
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Macro-Action Discovery Based on Change Point Detection and Boosting, Leonidas Lefakis and Francois Fleuret, in: International Conference on Machine Learning and Applications, 2012
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Exact Acceleration of Linear Object Detectors, Charles Dubout and Francois Fleuret, in: Proceedings of the European Conference on Computer Vision, 2012
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Iterative Relevance Feedback with Adaptive Exploration/Exploitation Trade-off, Nicolae Suditu and Francois Fleuret, in: Proceedings of the 21st ACM Conference on Information and Knowledge Management, pages 1323-1331, 2012
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A tree-based distance between distributions: application to classification of neurons, Riwal Lefort and Francois Fleuret, in: ICASSP 2012 : IEEE International Conference on Acoustics, Speech and Signal Processing, 2012
Boosting with Maximum Adaptive Sampling, Charles Dubout and Francois Fleuret, in: Proceedings of the Neural Information Processing Systems Conference, 2011
HEAT: Iterative Relevance Feedback with One Million Images, Nicolae Suditu and Francois Fleuret, in: Proceedings of the IEEE International Conference on Computer Vision, pages 2118-2125, 2011
The MASH Project, Francois Fleuret, Philip Abbet, Charles Dubout and Leonidas Lefakis, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011
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Tracking Multiple Objects under Global Appearance Constraints, Horesh Ben Shitrit, Jerome Berclaz, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2011
A real-time deformable detector., Karim Ali, Francois Fleuret, David Hasler and Pascal Fua, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
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Tasting Families of Features for Image Classification, Charles Dubout and Francois Fleuret, in: International Conference on Computer Vision, 2011
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Multiple Object Tracking using K-Shortest Paths Optimization, Jerome Berclaz, Engin Turetken, Francois Fleuret and Pascal Fua, in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
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