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Project MASH
Name: MASH

Publications of MASH sorted by first author

D

Object Classification and Detection in High Dimensional Feature Space, Charles Dubout, Programme doctoral en Informatique, Communications et Information, 2013
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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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Accelerated Training of Linear Object Detectors, Charles Dubout and Francois Fleuret, in: CVPR 2013 Workshop on Structured Prediction, 2013
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Deformable Part Models with Individual Part Scaling, Charles Dubout and Francois Fleuret, in: British Machine Vision Conference, 2013
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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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Tasting Families of Features for Image Classification, Charles Dubout and Francois Fleuret, in: International Conference on Computer Vision, 2011
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Boosting with Maximum Adaptive Sampling, Charles Dubout and Francois Fleuret, in: Proceedings of the Neural Information Processing Systems Conference, 2011

F

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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L

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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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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Joint Cascade Optimization Using a Product Of Boosted Classifiers, Leonidas Lefakis and Francois Fleuret, in: Proceedings of the Neural Information Processing Systems Conference, pages 1315–1323, 2010

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S

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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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
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