161 search results - page 6 / 33 » Classifier Instability and Partitioning |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...
ISMIS
2005
Springer
14 years 1 months ago
2005
Springer
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper we propose a domain partitioning RankBoost approach for face recognition. This method uses Local Gabor Binary Pattern Histogram (LGBPH) features for face representat...
SSPR
2000
Springer
13 years 11 months ago
2000
Springer
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
INFFUS
2002
13 years 7 months ago
2002
This study looks at the relationships between different methods of classifier combination and different measures of diversity. We considered ten combination methods and ten measur...