53 search results - page 7 / 11 » Computing Lower Expectations with Kuznetsov's Independence C... |
IJCV
2012
11 years 10 months ago
2012
The Hierarchical Conditional Random Field (HCRF) model have been successfully applied to a number of image labeling problems, including image segmentation. However, existing HCRF m...
ICCV
2009
IEEE
15 years 16 days ago
2009
IEEE
Atmospheric conditions induced by suspended particles,
such as fog and haze, severely degrade image quality.
Restoring the true scene colors (clear day image) from a
single imag...
TSP
2010
13 years 2 months ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
ML
2000
ACM
13 years 7 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
BIRD
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...