468 search results - page 52 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
135
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BMCBI
2008
14 years 11 months ago
2008
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
106
Voted
AAAI
2000
15 years 1 months ago
2000
This paper addresses the problem of tracking and diagnosing complex systems with mixtures of discrete and continuous variables. This problem is a difficult one, particularly when ...
97
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ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
This paper proposes an automatic foreground segmentation system based on Gaussian mixture models and dynamic graph cut algorithm. An adaptive perpixel background model is develope...
121
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ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
Foreground segmentation is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combine...
106
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ECML
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...