56 search results - page 4 / 12 » Semi-supervised Learning by Entropy Minimization |
COLT
2006
Springer
13 years 9 months ago
2006
Springer
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
MICCAI
2005
Springer
2005
Springer
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
14 years 6 months ago
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
NIPS
2004
13 years 7 months ago
2004
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
ICML
2007
IEEE
14 years 6 months ago
2007
IEEE
A number of updates for density matrices have been developed recently that are motivated by relative entropy minimization problems. The updates involve a softmin calculation based...