164 search results - page 24 / 33 » Heteroscedastic Gaussian process regression |
152
Voted
ICCV
2007
IEEE
16 years 5 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...
71
Voted
ICASSP
2010
IEEE
15 years 3 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...
129
Voted
ICRA
2008
IEEE
15 years 10 months ago
2008
IEEE
— We are interested in transferring control policies for arbitrary tasks from a human to a robot. Using interactive demonstration via teloperation as our transfer scenario, we ca...
120
Voted
ESANN
2008
15 years 5 months ago
2008
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
144
Voted
JMLR
2011
14 years 10 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...