2009 |
26 | EE | Fan Guo,
Chao Liu,
Anitha Kannan,
Tom Minka,
Michael J. Taylor,
Yi Min Wang,
Christos Faloutsos:
Click chain model in web search.
WWW 2009: 11-20 |
2008 |
25 | EE | Peter V. Gehler,
Carsten Rother,
Andrew Blake,
Thomas P. Minka,
Toby Sharp:
Bayesian color constancy revisited.
CVPR 2008 |
24 | EE | Tom Minka,
John M. Winn:
Gates.
NIPS 2008: 1073-1080 |
23 | EE | Michael J. Taylor,
John Guiver,
Stephen Robertson,
Tom Minka:
SoftRank: optimizing non-smooth rank metrics.
WSDM 2008: 77-86 |
2007 |
22 | EE | Pierre Dangauthier,
Ralf Herbrich,
Tom Minka,
Thore Graepel:
TrueSkill Through Time: Revisiting the History of Chess.
NIPS 2007 |
21 | EE | Yuan Qi,
Thomas P. Minka:
Window-based expectation propagation for adaptive signal detection in flat-fading channels.
IEEE Transactions on Wireless Communications 6(1): 348-355 (2007) |
2006 |
20 | EE | Julia A. Lasserre,
Christopher M. Bishop,
Thomas P. Minka:
Principled Hybrids of Generative and Discriminative Models.
CVPR (1) 2006: 87-94 |
19 | EE | Carsten Rother,
Thomas P. Minka,
Andrew Blake,
Vladimir Kolmogorov:
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs.
CVPR (1) 2006: 993-1000 |
18 | EE | Ralf Herbrich,
Tom Minka,
Thore Graepel:
TrueSkillTM: A Bayesian Skill Rating System.
NIPS 2006: 569-576 |
2005 |
17 | EE | Yuan (Alan) Qi,
Martin Szummer,
Thomas P. Minka:
Diagram Structure Recognition by Bayesian Conditional Random Fields.
CVPR (2) 2005: 191-196 |
16 | EE | John M. Winn,
Antonio Criminisi,
Thomas P. Minka:
Object Categorization by Learned Universal Visual Dictionary.
ICCV 2005: 1800-1807 |
15 | EE | Max Welling,
Thomas P. Minka,
Yee Whye Teh:
Structured Region Graphs: Morphing EP into GBP.
UAI 2005: 609-614 |
2004 |
14 | EE | Yuan (Alan) Qi,
Thomas P. Minka,
Rosalind W. Picard,
Zoubin Ghahramani:
Predictive automatic relevance determination by expectation propagation.
ICML 2004 |
2003 |
13 | EE | Charles R. Rosenberg,
Thomas P. Minka,
Alok Ladsariya:
Bayesian Color Constancy with Non-Gaussian Models.
NIPS 2003 |
12 | EE | Thomas P. Minka,
Yuan (Alan) Qi:
Tree-structured Approximations by Expectation Propagation.
NIPS 2003 |
2002 |
11 | EE | Yi Zhang,
James P. Callan,
Thomas P. Minka:
Novelty and redundancy detection in adaptive filtering.
SIGIR 2002: 81-88 |
10 | | Thomas P. Minka,
John D. Lafferty:
Expectation-Propogation for the Generative Aspect Model.
UAI 2002: 352-359 |
2001 |
9 | EE | Dan S. Bloomberg,
Kris Popat,
Thomas P. Minka:
Document Image Decoding Using Iterated Complete Path Search with Subsampled Heuristic Scoring.
ICDAR 2001: 344-349 |
8 | EE | Thomas P. Minka:
Expectation Propagation for approximate Bayesian inference.
UAI 2001: 362-369 |
2000 |
7 | | Thomas P. Minka:
Automatic Choice of Dimensionality for PCA.
NIPS 2000: 598-604 |
6 | EE | Ingemar J. Cox,
Matthew L. Miller,
Thomas P. Minka,
Thomas V. Papathomas,
Peter N. Yianilos:
The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments.
IEEE Transactions on Image Processing 9(1): 20-37 (2000) |
5 | EE | Ingemar J. Cox,
Matthew L. Miller,
Thomas P. Minka,
Thomas V. Papathomas,
Peter N. Yianilos:
Correction to "the Bayesian image retrieval system, pichunter: theory, implementation, and psychophysical experiments".
IEEE Transactions on Image Processing 9(3): 524- (2000) |
1998 |
4 | EE | Ingemar J. Cox,
Matthew L. Miller,
Thomas P. Minka,
Peter N. Yianilos:
An Optimized Interaction Strategy for Bayesian Relevance Feedback.
CVPR 1998: 553-558 |
1997 |
3 | EE | Thomas P. Minka,
Rosalind W. Picard:
Interactive learning with a "society of models".
Pattern Recognition 30(4): 565-581 (1997) |
1996 |
2 | EE | Thomas P. Minka,
Rosalind W. Picard:
Interactive Learning with a "Society of Models" .
CVPR 1996: 447-452 |
1995 |
1 | | Rosalind W. Picard,
Thomas P. Minka:
Vision Texture for Annotation.
Multimedia Syst. 3(1): 3-14 (1995) |