25 search results - page 3 / 5 » Bayesian Solutions to the Label Switching Problem |
ECCV
1994
Springer
13 years 11 months ago
1994
Springer
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
ML
2002
ACM
13 years 7 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
EMMCVPR
1999
Springer
13 years 11 months ago
1999
Springer
Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. These tasks can be formulated as energy minimization problems. In this paper, we conside...
ICC
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper reports on a promising approach for solving problems found when Multi Protocol Label Switching (MPLS), soon to be a dominant protocol, is used in core network systems. D...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
The ambiguity inherent in a localized analysis of events from video can be resolved by exploiting constraints between events and examining only feasible global explanations. We sho...