126 search results - page 9 / 26 » Covariance estimation in decomposable Gaussian graphical mod... |
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper we present a novel approach for estimating featurespace maximum likelihood linear regression (fMLLR) transforms for full-covariance Gaussian models by directly maxim...
CIARP
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Recently we have proposed Gaussian mixtures as a local statistical model to synthesize artificial textures. We describe the statistical dependence of pixels of a movable ...
IPMI
2003
Springer
15 years 10 months ago
2003
Springer
The Gaussian distribution is the basis for many methods used in the statistical analysis of shape. One such method is principal component analysis, which has proven to be a powerfu...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
Abstract— We consider the problem of optimizing the trajectory of a mobile sensor with perfect localization whose task is to estimate a stochastic, perhaps multidimensional fiel...