417 search results - page 36 / 84 » Bayesian inference in estimation of distribution algorithms |
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
In this paper, a Bayesian self-calibration approach using sequential importance sampling (SIS) is proposed. Given a set of feature correspondences tracked through an image sequenc...
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...
IJAR
2006
13 years 8 months ago
2006
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
AI
2007
Springer
14 years 2 months ago
2007
Springer
Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
KI
2010
Springer
13 years 5 months ago
2010
Springer
Recognizing human intentions is part of the decision process in many technical devices. In order to achieve natural interaction, the required estimation quality and the used comput...