200 search results - page 3 / 40 » Building Classifiers Using Bayesian Networks |
SBRN
2006
IEEE
14 years 4 months ago
2006
IEEE
ICDAR
2009
IEEE
14 years 5 months ago
2009
IEEE
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
JVCIR
2010
13 years 8 months ago
2010
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...
ML
2008
ACM
13 years 10 months ago
2008
ACM
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
ECML
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na