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The segmentation of multi-channel meeting recordings for automatic speech recognition, John Dines, Jithendra Vepa and Thomas Hain, in: Int. Conf. on Spoken Language Processing (Interspeech ICSLP), 2006
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Measuring the gap between HMM-based ASR and TTS, John Dines, Junichi Yamagishi and Simon King, in: IEEE Journal of Selected Topics in Signal Processing, in print, 2010
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Measuring the gap between HMM-based ASR and TTS, John Dines, Junichi Yamagishi and Simon King, in: Proceedings of Interspeech, Brighton, U.K., 2009
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Regularized Bundle Methods for Convex and Non-Convex Risks, Trinh-Minh-Tri Do and Thierry Artieres, in: Journal of Machine Learning Research, 13:3539-3583, 2012
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Neural conditional random fields, Trinh-Minh-Tri Do and Thierry Artieres, in: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, Chia Laguna, Sardinia, Italy, JMLR: W&CP, 2010
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Contextual Conditional Models for Smartphone-based Human Mobility Prediction, Trinh-Minh-Tri Do and Daniel Gatica-Perez, in: Proceedings of the 14th ACM International Conference on Ubiquitous Computing, 2012
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GroupUs: Smartphone Proximity Data and Human Interaction Type Mining, Trinh-Minh-Tri Do and Daniel Gatica-Perez, in: 15th annual International Symposium on Wearable Computers, San Francisco, USA, 2011
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By their apps you shall understand them: mining large-scale patterns of mobile phone usage, Trinh-Minh-Tri Do and Daniel Gatica-Perez, in: The 9th International Conference on Mobile and Ubiquitous Multimedia, 2010
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Passive Bimanual Skills Learning from Demonstration with Motion Graph Attention Networks, Z. Dong, Z. Li, Y. Yan, Sylvain Calinon and F. Chen, in: IEEE Robotics and Automation Letters (RA-L), 7(2):4917-4923, 2022
Improving Children Speech Recognition through Feature Learning from Raw Speech Signal, S. Pavankumar Dubagunta, Selen Hande Kabil and Mathew Magimai-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition, S. Pavankumar Dubagunta and Mathew Magimai-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Learning voice source related information for depression detection, S. Pavankumar Dubagunta, Bogdan Vlasenko and Mathew Magimai-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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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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