8 search results - page 1 / 2 » Constrained Maximum Likelihood Learning of Bayesian Networks... |
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
PAMI
2010
13 years 2 months ago
2010
—Facial expression is a natural and powerful means of human communication. Recognizing spontaneous facial actions, however, is very challenging due to subtle facial deformation, ...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
AVBPA
2005
Springer
13 years 6 months ago
2005
Springer
There has been a flurry of works on video sequence-based face recognition in recent years. One of the hard problems in this area is how to effectively combine the facial configu...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
The accurate localization of facial features plays a fundamental
role in any face recognition pipeline. Constrained
local models (CLM) provide an effective approach to localizati...