766 search results - page 7 / 154 » Gaussian Process Models of Spatial Aggregation Algorithms |
NIPS
2008
13 years 9 months ago
2008
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
WCE
2007
13 years 8 months ago
2007
—One of main issues in point matching is the choice of the mapping function and the computation of its optimal hyperparameters. In this paper, we propose an attractive approach t...
NIPS
2000
13 years 8 months ago
2000
We develop an approach for a sparse representation for Gaussian Process (GP) models in order to overcome the limitations of GPs caused by large data sets. The method is based on a...
NIPS
2007
13 years 9 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper deals with the problem of under-determined convolutive blind source separation. We model the contribution of each source to all mixture channels in the time-frequency d...