203 search results - page 26 / 41 » Hierarchical Gaussian Process Regression |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
BMCBI
2008
13 years 7 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...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
ASAP
1996
IEEE
13 years 11 months ago
1996
IEEE
The Alpha language, based on systems of affine recurrence equations over polyhedral domains, allows the expression of complex algorithms as hierarchical, parameterized structures ...
ICASSP
2010
IEEE
13 years 7 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...