458 search results - page 19 / 92 » Bayesian estimation of the Gaussian mixture GARCH model |
ICIP
2000
IEEE
14 years 26 days ago
2000
IEEE
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
AAAI
2010
13 years 10 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 ...
ICA
2004
Springer
14 years 1 months ago
2004
Springer
This paper addresses the blind separation of noisy mixtures of independent sources. It discusses issues and techniques related to computing maximum likelihood estimates in Gaussian...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
A Gaussian mixture model (GMM) estimates a probability density function using the expectation-maximization algorithm. However, it may lead to a poor performance or inconsistency. T...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
The Extended Baum-Welch (EBW) Transformations is one of a variety of techniques to estimate parameters of Gaussian mixture models. In this paper, we provide a theoretical framewor...