4 search results - page 1 / 1 » Learning Coordinate Covariances via Gradients |
JMLR
2006
13 years 4 months ago
2006
We introduce an algorithm that learns gradients from samples in the supervised learning framework. An error analysis is given for the convergence of the gradient estimated by the ...
COLT
2008
Springer
13 years 6 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
JMLR
2006
13 years 4 months ago
2006
We introduce an algorithm that simultaneously estimates a classification function as well as its gradient in the supervised learning framework. The motivation for the algorithm is...
CVPR
2010
IEEE
13 years 2 months ago
2010
IEEE
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...