3256 search results - page 241 / 652 » Learning Linear Transformations |
162
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
154
click to vote
ICMCS
2005
IEEE
16 years 4 days ago
2005
IEEE
The ability of humans for color constancy, i.e. the ability to correct for color deviation caused by a different illumination, is far beyond computer vision performances: nowadays...
181
click to vote
IJCNN
2000
IEEE
15 years 11 months ago
2000
IEEE
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
157
click to vote
LREC
2008
15 years 8 months ago
2008
In this paper, we present a simple yet efficient automatic system to translate biomedical terms. It mainly relies on a machine learning approach able to infer rewriting rules from...
179
click to vote
UAI
2003
15 years 8 months ago
2003
We consider the problem of learning a Riemannian metric associated with a given differentiable manifold and a set of points. Our approach to the problem involves choosing a metric...