177 search results - page 5 / 36 » Sparse Representation for Gaussian Process Models |
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Signal processing using over-complete representations has been an active research field in recent years. In this article, we study the following two related problems: (1) given tw...
ESSMAC
2003
Springer
14 years 23 days ago
2003
Springer
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...