282 search results - page 1 / 57 » Learning graphical models for hypothesis testing and classif... |
TSP
2010
12 years 11 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
IPSN
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
MICCAI
2008
Springer
14 years 5 months ago
2008
Springer
We study the problem of classifying an autistic group from controls using structural image data alone, a task that requires a clinical interview with a psychologist. Because of the...
ANNPR
2006
Springer
13 years 8 months ago
2006
Springer
We present a multiclass classification system for gray value images through boosting. The feature selection is done using the LPBoost algorithm which selects suitable features of a...