200 search results - page 17 / 40 » Approximating Gaussian Processes with H2-Matrices |
PAMI
2006
14 years 9 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
NIPS
2007
14 years 11 months ago
2007
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
86
Voted
ISM
2008
IEEE
15 years 3 months ago
2008
IEEE
Many multimedia applications rely on the computation of logarithms, for example, when estimating log-likelihoods for Gaussian Mixture Models. Knowing of the demand to compute loga...
90
Voted
ICIP
2003
IEEE
15 years 2 months ago
2003
IEEE
Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform ...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Predicting accurately the spatiotemporal evolution of a diffusive environmental hazard is of paramount importance for its effective containment. We approximate the front line of a...