126 search results - page 17 / 26 » Covariance estimation in decomposable Gaussian graphical mod... |
CORR
2007
Springer
14 years 9 months ago
2007
Springer
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
79
Voted
CSL
2007
Springer
14 years 9 months ago
2007
Springer
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
106
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BMCBI
2008
14 years 9 months ago
2008
Background: Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome. The fact that gen...
88
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
Linear Discriminant Analysis (LDA) is a popular tool for multiclass discriminative dimensionality reduction. However, LDA suffers from two major problems: (1) It only optimizes th...
MTA
2006
14 years 9 months ago
2006
Abstract This paper presents an efficient and robust algorithm for 3D mesh segmentation. Segmentation is one of the main areas of 3D object modeling. Most segmentation methods deco...