465 search results - page 15 / 93 » Split variational inference |
KI
2009
Springer
14 years 1 months ago
2009
Springer
The article contributes a derivation of variational Bayes for a large class of topic models by generalising from the well-known model of latent Dirichcation. For an abstraction of ...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
We describe a novel variational segmentation algorithm designed to split an image in two regions based on their intensity distributions. A functional is proposed to integrate the ...
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
ACL
2009
13 years 5 months ago
2009
Statistical models in machine translation exhibit spurious ambiguity. That is, the probability of an output string is split among many distinct derivations (e.g., trees or segment...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
Image decomposition consists of splitting an image into two or more components. One component is piecewise smooth and models object shapes. Another component consists of the textu...