727 search results - page 47 / 146 » On Bayesian model and variable selection using MCMC |
IJCAI
2007
14 years 11 months ago
2007
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
106
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ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
110
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JMLR
2012
13 years 6 days ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
ECCV
1998
Springer
15 years 11 months ago
1998
Springer
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...