Tom Minka
Tom Minka
Principal Researcher, Microsoft Research, Cambridge UK
Dirección de correo verificada de microsoft.com - Página principal
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Expectation propagation for approximate Bayesian inference
TP Minka
arXiv preprint arXiv:1301.2294, 2013
17592013
A family of algorithms for approximate Bayesian inference
TP Minka
Massachusetts Institute of Technology, 2001
10732001
Object categorization by learned universal visual dictionary
J Winn, A Criminisi, T Minka
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005
10482005
The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments
IJ Cox, ML Miller, TP Minka, TV Papathomas, PN Yianilos
IEEE transactions on image processing 9 (1), 20-37, 2000
10442000
The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments
IJ Cox, ML Miller, TP Minka, TV Papathomas, PN Yianilos
IEEE transactions on image processing 9 (1), 20-37, 2000
10392000
The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments
IJ Cox, ML Miller, TP Minka, TV Papathomas, PN Yianilos
IEEE transactions on image processing 9 (1), 20-37, 2000
10392000
Estimating a Dirichlet distribution
T Minka
Technical report, MIT 1 (3), 4, 2000
7802000
Estimating a Dirichlet distribution
T Minka
Technical report, MIT 1 (3), 4, 2000
7802000
TrueSkill™: a Bayesian skill rating system
R Herbrich, T Minka, T Graepel
Advances in neural information processing systems 19, 569-576, 2006
7062006
Expectation-propogation for the generative aspect model
TP Minka, J Lafferty
arXiv preprint arXiv:1301.0588, 2012
6382012
Cosegmentation of image pairs by histogram matching-incorporating a global constraint into mrfs
C Rother, T Minka, A Blake, V Kolmogorov
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
6282006
Interactive learning with a “society of models”
TP Minka, RW Picard
Pattern recognition 30 (4), 565-581, 1997
5881997
Automatic choice of dimensionality for PCA
T Minka
Advances in neural information processing systems 13, 598-604, 2000
5632000
Novelty and redundancy detection in adaptive filtering
Y Zhang, J Callan, T Minka
Proceedings of the 25th annual international ACM SIGIR conference on …, 2002
5612002
Divergence measures and message passing
T Minka
Technical report, Microsoft Research, 2005
5112005
You are facing the Mona Lisa: Spot localization using PHY layer information
S Sen, B Radunovic, RR Choudhury, T Minka
Proceedings of the 10th international conference on Mobile systems …, 2012
4752012
You are facing the Mona Lisa: Spot localization using PHY layer information
S Sen, B Radunovic, RR Choudhury, T Minka
Proceedings of the 10th international conference on Mobile systems …, 2012
4752012
A useful distribution for fitting discrete data: revival of the Conway–Maxwell–Poisson distribution
G Shmueli, TP Minka, JB Kadane, S Borle, P Boatwright
Journal of the Royal Statistical Society: Series C (Applied Statistics) 54 …, 2005
4242005
Bayesian color constancy revisited
PV Gehler, C Rother, A Blake, T Minka, T Sharp
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
3692008
Principled hybrids of generative and discriminative models
JA Lasserre, CM Bishop, TP Minka
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
3622006
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