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» A New Discriminative Kernel From Probabilistic Models
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IR
2006
14 years 9 months ago
Multilingual modeling of cross-lingual spelling variants
Technical term translations are important for cross-lingual information retrieval. In many languages, new technical terms have a common origin rendered with different spelling of ...
Krister Lindén
DAGM
2006
Springer
15 years 1 months ago
Dense Stereo by Triangular Meshing and Cross Validation
Dense depth maps can be estimated in a Bayesian sense from multiple calibrated still images of a rigid scene relative to a reference view [1]. This well-established probabilistic f...
Peter Wey, Bernd Fischer, Herbert Bay, Joachim M. ...
UAI
2008
14 years 11 months ago
AND/OR Importance Sampling
The paper introduces an AND/OR importance sampling scheme for probabilistic graphical models. In contrast to conventional importance sampling, AND/OR importance sampling caches sa...
Vibhav Gogate, Rina Dechter
NIPS
2007
14 years 11 months ago
Bayesian Co-Training
We propose a Bayesian undirected graphical model for co-training, or more generally for semi-supervised multi-view learning. This makes explicit the previously unstated assumption...
Shipeng Yu, Balaji Krishnapuram, Rómer Rosa...
ICCV
2003
IEEE
15 years 11 months ago
A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
Fei-Fei Li 0002, Robert Fergus, Pietro Perona