24 search results - page 3 / 5 » Sparse multiscale gaussian process regression |
UAI
2008
13 years 10 months ago
2008
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
ICPR
2010
IEEE
14 years 26 days ago
2010
IEEE
Diabetic retinopathy (DR) is a common complication of diabetes that damages the retina and leads to sight loss if treated late. In its earliest stage, DR can be diagnosed by microa...
DSMML
2004
Springer
14 years 1 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...