24 search results - page 5 / 5 » Sparse multiscale gaussian process regression |
JMLR
2011
13 years 8 days 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...
ICIP
2001
IEEE
14 years 6 months ago
2001
IEEE
This paper introduces multi-scale tree-based approaches to image segmentation, using Rissanen's coding theoretic minimum description length (MDL) principle to penalize overly...
HUMO
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...