251 search results - page 6 / 51 » A Greedy EM Algorithm for Gaussian Mixture Learning |
101
click to vote
JAIR
1998
14 years 9 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
MVA
2002
14 years 9 months ago
2002
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We investigate under what conditions clustering by learning a mixture of spherical Gaussians is (a) computationally tractable; and (b) statistically possible. We show that using p...
124
click to vote
ISDA
2010
IEEE
14 years 7 months ago
2010
IEEE
The usage of Gaussian mixture models for video segmentation has been widely adopted. However, the main difficulty arises in choosing the best model complexity. High complex models ...
66
Voted
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...