251 search results - page 8 / 51 » A Greedy EM Algorithm for Gaussian Mixture Learning |
108
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ICIP
2009
IEEE
14 years 7 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...
PAMI
2007
14 years 9 months ago
2007
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
PAMI
2006
14 years 9 months ago
2006
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
107
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MICCAI
2005
Springer
15 years 10 months ago
2005
Springer
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...