115 search results - page 5 / 23 » Distributed parameter estimation with selective cooperation |
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Figure-ground discrimination is an important problem in computer vision. Previous work usually assumes that the color distribution of the figure can be described by a low dimensio...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
We propose an approximate Bayesian approach for unsupervised feature selection and density estimation, where the importance of the features for clustering is used as the measure f...
CSDA
2007
13 years 9 months ago
2007
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
NIPS
2007
13 years 11 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...