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Tom Minka
Tom Minka
Principal Researcher, Microsoft Research, Cambridge UK
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Expectation propagation for approximate Bayesian inference
TP Minka
arXiv preprint arXiv:1301.2294, 2013
23252013
A family of algorithms for approximate Bayesian inference
TP Minka
Massachusetts Institute of Technology, 2001
12872001
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
11792005
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
11182000
TrueSkill™: a Bayesian skill rating system
R Herbrich, T Minka, T Graepel
Advances in neural information processing systems 19, 2006
10512006
Estimating a Dirichlet distribution
T Minka
Technical report, MIT 1 (3), 4, 2000
10012000
Automatic choice of dimensionality for PCA
T Minka
Advances in neural information processing systems 13, 2000
7772000
Expectation-propogation for the generative aspect model
TP Minka, J Lafferty
arXiv preprint arXiv:1301.0588, 2012
7422012
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
7422006
Divergence measures and message passing
T Minka
Technical report, Microsoft Research, 2005
7202005
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 (1 …, 2005
6942005
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
6562012
Novelty and redundancy detection in adaptive filtering
Y Zhang, J Callan, T Minka
Proceedings of the 25th annual international ACM SIGIR conference on …, 2002
6412002
Interactive learning with a “society of models”
TP Minka, RW Picard
Pattern recognition 30 (4), 565-581, 1997
6391997
maps: Draw geographical maps
RA Becker, AR Wilks, R Brownrigg, TP Minka, A Deckmyn
R package version 3 (0), 2018, 2018
5852018
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
5252008
Softrank: optimizing non-smooth rank metrics
M Taylor, J Guiver, S Robertson, T Minka
Proceedings of the 2008 International Conference on Web Search and Data …, 2008
4632008
Principled hybrids of generative and discriminative models
JA Lasserre, CM Bishop, TP Minka
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
4432006
A* sampling
CJ Maddison, D Tarlow, T Minka
Advances in neural information processing systems 27, 2014
3882014
Vision texture for annotation
RW Picard, TP Minka
Multimedia systems 3, 3-14, 1995
3831995
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