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» Estimating Likelihoods for Topic Models
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115
Voted
ISCI
2008
137views more  ISCI 2008»
15 years 23 days ago
Stochastic dominance-based rough set model for ordinal classification
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has...
Wojciech Kotlowski, Krzysztof Dembczynski, Salvato...
97
Voted
ICPR
2008
IEEE
16 years 1 months ago
Background variability modeling for statistical layout analysis
Geometric layout analysis plays an important role in document image understanding. Many algorithms known in literature work well on standard document images, achieving high text l...
Faisal Shafait, Joost van Beusekom, Daniel Keysers...
121
Voted
ACCV
2009
Springer
15 years 7 months ago
A Probabilistic Model for Correspondence Problems Using Random Walks with Restart
Abstract. In this paper, we propose an efficient method for finding consistent correspondences between two sets of features. Our matching algorithm augments the discriminative pow...
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
84
Voted
ICCV
2009
IEEE
16 years 5 months ago
Image Sequence Geolocation with Human Travel Priors
This paper presents a method for estimating geographic location for sequences of time-stamped photographs. A prior distribution over travel describes the likelihood of traveling...
Evangelos Kalogerakis, Olga Vesselova, James Hays,...
126
Voted
CVPR
2003
IEEE
16 years 2 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...