1256 search results - page 33 / 252 » On Combining Classifiers |
CVPR
2008
IEEE
14 years 12 months ago
2008
IEEE
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...
ISBI
2009
IEEE
14 years 4 months ago
2009
IEEE
In this paper, we introduce a new classifier ensemble approach, applied to tissue segmentation in optical images of the uterine cervix. Ensemble methods combine the predictions o...
ICDAR
2009
IEEE
13 years 7 months ago
2009
IEEE
We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set,...
ICDAR
2003
IEEE
14 years 3 months ago
2003
IEEE
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
ML
2010
ACM
13 years 4 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...