Tom Minka
Tom Minka
Principal Researcher, Microsoft Research, Cambridge UK
Email verificata su microsoft.com - Home page
Titolo
Citata da
Citata da
Anno
Expectation propagation for approximate Bayesian inference
TP Minka
arXiv preprint arXiv:1301.2294, 2013
17242013
A family of algorithms for approximate Bayesian inference
TP Minka
Massachusetts Institute of Technology, 2001
10482001
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
10442005
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
10422000
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
10372000
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
10372000
Estimating a Dirichlet distribution
T Minka
Technical report, MIT 1 (3), 4, 2000
7732000
Estimating a Dirichlet distribution
T Minka
Technical report, MIT 1 (3), 4, 2000
7732000
TrueSkill™: a Bayesian skill rating system
R Herbrich, T Minka, T Graepel
Advances in neural information processing systems, 569-576, 2007
6932007
Expectation-propogation for the generative aspect model
TP Minka, J Lafferty
arXiv preprint arXiv:1301.0588, 2012
6372012
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
6272006
Interactive learning with a “society of models”
TP Minka, RW Picard
Pattern recognition 30 (4), 565-581, 1997
5871997
Novelty and redundancy detection in adaptive filtering
Y Zhang, J Callan, T Minka
Proceedings of the 25th annual international ACM SIGIR conference on …, 2002
5572002
Automatic choice of dimensionality for PCA
TP Minka
Advances in neural information processing systems, 598-604, 2001
5522001
Divergence measures and message passing
T Minka
Technical report, Microsoft Research, 2005
4982005
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
4672012
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
4672012
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
4192005
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
3642008
Principled hybrids of generative and discriminative models
JA Lasserre, CM Bishop, TP Minka
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
3562006
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20