Tony Jebara
Tony Jebara
Columbia University and Spotify
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TitleCited byYear
Computational social science
D Lazer, A Pentland, L Adamic, S Aral, AL Barabási, D Brewer, ...
Science 323 (5915), 721-723, 2009
Bayesian face recognition
B Moghaddam, T Jebara, A Pentland
Pattern recognition 33 (11), 1771-1782, 2000
Probability product kernels
T Jebara, R Kondor, A Howard
Journal of Machine Learning Research 5 (Jul), 819-844, 2004
Parametrized structure from motion for 3D adaptive feedback tracking of faces
TS Jebara, A Pentland
Proceedings of IEEE Computer Society Conference on Computer Vision and …, 1997
Graph construction and b-matching for semi-supervised learning
T Jebara, J Wang, SF Chang
Proceedings of the 26th annual international conference on machine learning …, 2009
Maximum entropy discrimination
T Jaakkola, M Meila, T Jebara
Advances in neural information processing systems, 470-476, 2000
Social science. Computational social science.
D Lazer, A Pentland, L Adamic, S Aral, AL Barabasi, D Brewer, ...
Science (New York, NY) 323 (5915), 721-723, 2009
A kernel between sets of vectors
R Kondor, T Jebara
Proceedings of the 20th International Conference on Machine Learning (ICML …, 2003
3D structure from 2D motion
T Jebara, A Azarbayejani, A Pentland
IEEE Signal processing magazine 16 (3), 66-84, 1999
Multimodal person recognition using unconstrained audio and video
T Choudhury, B Clarkson, T Jebara, A Pentland
Proceedings, International Conference on Audio-and Video-Based Person …, 1999
An SVM learning approach to robotic grasping
R Pelossof, A Miller, P Allen, T Jebara
IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004
Stochasticks: Augmenting the billiards experience with probabilistic vision and wearable computers
T Jebara, C Eyster, J Weaver, T Starner, A Pentland
Digest of Papers. First International Symposium on Wearable Computers, 138-145, 1997
Multi-task feature and kernel selection for SVMs
T Jebara
Proceedings of the twenty-first international conference on Machine learning, 55, 2004
Machine learning: discriminative and generative
T Jebara
Springer Science & Business Media, 2012
3D pose estimation and normalization for face recognition
TS Jebara
Centre for Intelligent Machines, McGill University, 1995
Structure preserving embedding
B Shaw, T Jebara
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Bhattacharyya and expected likelihood kernels
T Jebara, R Kondor
Learning theory and kernel machines, 57-71, 2003
Graph transduction via alternating minimization
J Wang, T Jebara, SF Chang
Proceedings of the 25th international conference on Machine learning, 1144-1151, 2008
Discriminative, generative and imitative learning
T Jebara, AP Pentland
PhD thesis, Media laboratory, MIT, 2001
An EM algorithm for localizing multiple sound sources in reverberant environments
MI Mandel, DP Ellis, T Jebara
Advances in neural information processing systems, 953-960, 2007
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