564 search results - page 63 / 113 » Bayesian Parameter Estimation: A Monte Carlo Approach |
113
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CIVR
2006
Springer
15 years 3 months ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
136
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ICANN
2009
Springer
15 years 4 months ago
2009
Springer
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
109
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we focus on the design of Markov Chain Monte Carlo techniques in a statistical registration framework based on finite element basis (FE). Due to the use of FE basis...
112
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JCST
2010
14 years 10 months ago
2010
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
120
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NLPRS
2001
Springer
15 years 4 months ago
2001
Springer
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...