1440 search results - page 24 / 288 » Warped Gaussian Processes |
85
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
This paper presents an algorithm to estimate simultaneously both mean and variance of a non parametric regression problem. The key point is that we are able to estimate variance l...
NIPS
2004
14 years 11 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
94
Voted
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...
106
click to vote
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
The estimation of high-dimensional probability density functions (PDFs) is not an easy task for many image processing applications. The linear models assumed by widely used transf...