144 search results - page 3 / 29 » Estimating local optimums in EM algorithm over Gaussian mixt... |
ICPR
2010
IEEE
13 years 12 months ago
2010
IEEE
We consider a simple statistical model of the image, in which the image is represented as a sum of two parts: one part is explained by an i.i.d. color Gaussian mixture and the oth...
AAAI
2010
13 years 6 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
ISBI
2006
IEEE
14 years 6 months ago
2006
IEEE
We have developed two algorithms for source imaging from MEG/EEG data. Contribution to sensor data from a source at a particular voxel is expressed as the product of a known lead ...
ICPR
2010
IEEE
13 years 3 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
13 years 5 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 ...