180 search results - page 7 / 36 » Variational Inference for Diffusion Processes |
EMMCVPR
2009
Springer
13 years 11 months ago
2009
Springer
Complex diffusion was introduced in the image processing literature as a means to achieve simultaneous denoising and enhancement of scalar valued images. In this paper, we present ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Mobile adaptive networks consist of a collection of nodes with learning and motion abilities that interact with each other locally in order to solve distributed processing and dis...
HICSS
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper presents technical foundation, roadmap and initial results of the IDIOM project (Information Diffusion across Interactive Online Media). Information spreads rapidly acr...
JMLR
2010
13 years 2 months ago
2010
The GPML toolbox provides a wide range of functionality for Gaussian process (GP) inference and prediction. GPs are specified by mean and covariance functions; we offer a library ...