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2016
Principled Parallel Mean-Field Inference for Discrete Random Fields, Pierre Baqué, Timur Bagautdinov, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2016
Multilingual Visual Sentiment Concept Matching, Nikolaos Pappas, Mercan Topkara, Miriam Redi, Brendan Jou, Tao Chen, Hongyi Liu and Shih-Fu Chang, in: Proceedings of the International Conference on Multimedia Retrieval (ICMR), 2016
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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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Jointly Informative Feature Selection, Leonidas Lefakis and Francois Fleuret, in: Journal of Machine Learning Research, 2016
Evaluating Shape Representations for Maya Glyph Classification, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: ACM Journal on Computing and Cultural Heritage (JOCCH), 9(3), 2016
A Tutorial on Task-Parameterized Movement Learning and Retrieval, Sylvain Calinon, in: Intelligent Service Robotics, 9(1):1-29, 2016
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Adaptive Sentiment-Aware One-Class Collaborative Filtering, Nikolaos Pappas and Andrei Popescu-Belis, in: Expert Systems with Applications, 43:23-41, 2016
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Adaptive relevance feedback for large-scale image retrieval, Nicolae Suditu and Francois Fleuret, in: Multimedia Tools and Applications, 75(12):6777-6807, 2016
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Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-based Speech Recognition, Pranay Dighe, Afsaneh Asaei and Hervé Bourlard, in: Speech Communication: Special Issue on Advances in Sparse Modeling and Low-rank Modeling for Speech Processing, 76:230–244, 2016
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Otomatik İşaret Dili Tanıma ve Türk İşaret Dili için Bilgisayar Uygulamaları, Oya Aran, Ismail Ari, Alp Kindiroglu, Pinar Santemiz and Lale Akarun, in: Ellerle Konusmak: Turk Isaret Dili Arastirmalari / Research on Turkish Sign Language, pages 471-498, Koc University Press, 2016
2015
Global Optimization with Sparse and Local Gaussian Process Models, Tipaluck Krityakierne and David Ginsbourger, in: Machine Learning, Optimization, and Big Data, pages 185-196, Springer International Publishing, 2015
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Differentiating the Multipoint Expected Improvement for Optimal Batch Design, Sébastien Marmin, Clément Chevalier and David Ginsbourger, in: Machine Learning, Optimization, and Big Data, pages 37-48, Springer International Publishing, 2015
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Transfer Learning through Greedy Subset Selection, Ilja Kuzborskij, Francesco Orabona and Barbara Caputo, in: Image Analysis and Processing - ICIAP 2015, Genoa, Italy, pages 3-14, Springer International Publishing, 2015
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