200 search results - page 4 / 40 » Approximating Gaussian Processes with H2-Matrices |
ACCV
2010
Springer
13 years 11 days ago
2010
Springer
Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investig...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper presents a novel Gaussian process (GP) approach to regression with inputdependent noise rates. We follow Goldberg et al.'s approach and model the noise variance us...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
When monitoring spatial phenomena, which are often modeled as Gaussian Processes (GPs), choosing sensor locations is a fundamental task. A common strategy is to place sensors at t...
JMLR
2010
13 years 4 days ago
2010
A method for using monotonicity information in multivariate Gaussian process regression and classification is proposed. Monotonicity information is introduced with virtual derivat...
ICASSP
2011
IEEE
2011
IEEE
Gaussian approximation of the LLR distribution for the ML and partial marginalization MIMO detectors
12 years 9 months ago
We derive a Gaussian approximation of the LLR distribution conditioned on the transmitted signal and the channel matrix for the soft-output via partial marginalization MIMO detect...