180 search results - page 6 / 36 » Variational Inference for Diffusion Processes |
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper, we present a variational Bayes (VB) approach for image segmentation. First, image is modeled by a mixture model, and then with the techniques of factor analyzer, th...
ICIP
2008
IEEE
14 years 1 months ago
2008
IEEE
In this paper we propose a novel algorithm for super resolution based on total variation prior and variational distribution approximations. We formulate the problem using a hierar...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we present a patch-based variational Bayesian framework of image processing using the language of factor graphs (FGs). The variable and factor nodes of FGs represen...
FTML
2008
13 years 7 months ago
2008
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
JCB
2006
13 years 7 months ago
2006
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...