154 search results - page 12 / 31 » Boosted Bayesian network classifiers |
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
IWANN
2005
Springer
15 years 2 months ago
2005
Springer
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
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ICIP
2003
IEEE
15 years 2 months ago
2003
IEEE
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discove...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
The likelihood for patterns of continuous attributes for the naive Bayesian classifier (NBC) may be approximated by kernel density estimation (KDE), letting every pattern influenc...