39 search results - page 2 / 8 » Mixture Models and Frequent Sets: Combining Global and Local... |
ROCAI
2004
Springer
13 years 10 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
CVPR
1999
IEEE
14 years 6 months ago
1999
IEEE
We1 present a new method to shape-based segmentation of deformable anatomical structures in medical images and validate this approach by detecting and tracking the endocardial bor...
DAGM
1998
Springer
13 years 9 months ago
1998
Springer
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
Bayesian analysis is a popular subspace based face recognition method. It casts the face recognition task into a binary classification problem with each of the two classes, intrap...