138 search results - page 2 / 28 » The Gaussian Process Density Sampler |
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
An efficient Nonparametric Belief Propagation (NBP) algorithm is developed in this paper. While the recently proposed nonparametric belief propagation algorithm has wide applicati...
NIPS
2000
13 years 5 months ago
2000
We introduce the mixture of Gaussian processes (MGP) model which is useful for applications in which the optimal bandwidth of a map is input dependent. The MGP is derived from the...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
SIAMNUM
2010
12 years 11 months ago
2010
Abstract. A variational problem characterizing the density estimator defined by the maximum a posteriori method with Gaussian process priors is derived. It is shown that this probl...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Tracking speakers is an important application in smart environments. Acoustic tracking using microphone arrays is a challenging task due to two major reasons: On the one hand, mul...