156 search results - page 4 / 32 » Ensembles of Classifiers from Spatially Disjoint Data |
ICANN
2003
Springer
14 years 22 days ago
2003
Springer
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it ex...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
CVPR
2007
IEEE
13 years 11 months ago
2007
IEEE
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
SIGMOD
2006
ACM
14 years 7 months ago
2006
ACM
As data streams are gaining prominence in a growing number of emerging application domains, classification on data streams is becoming an active research area. Currently, the typi...