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» Variational Inference for Diffusion Processes
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ICIP
2009
IEEE
14 years 8 months ago
Bayesian Blind Deconvolution From Differently Exposed Image Pairs
Photographs acquired under low-light conditions require long exposure times and therefore exhibit significant blurring due to the shaking of the camera. Using shorter exposure tim...
AVBPA
1997
Springer
90views Biometrics» more  AVBPA 1997»
13 years 11 months ago
Face Detection by Direct Convexity Estimation
We suggest a novel attentional mechanism for detection of smooth convex and concave objects based on direct processing of intensity values. The operator detects the regions of the ...
Ariel Tankus, Hezy Yeshurun, Nathan Intrator
PAMI
2010
113views more  PAMI 2010»
13 years 5 months ago
Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents
—We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic...
Iulian Pruteanu-Malinici, Lu Ren, John William Pai...
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
14 years 4 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 3 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson