513 search results - page 42 / 103 » Bayesian Approaches to Gaussian Mixture Modeling |
ECCV
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. In the matching tasks which form an integral part of all types of tracking and geometrical vision, there are invariably priors available on the absolute and/or relative i...
ICIP
2009
IEEE
13 years 6 months ago
2009
IEEE
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
ICCV
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
ACCV
2006
Springer
14 years 3 months ago
2006
Springer
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...
JFR
2006
13 years 9 months ago
2006
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...