313 search results - page 15 / 63 » Boosting with Diverse Base Classifiers |
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ECML
2007
Springer
15 years 3 months ago
2007
Springer
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
ICMLC
2010
Springer
14 years 7 months ago
2010
Springer
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
AAAI
2010
14 years 9 months ago
2010
Active object exploration is one of the hallmarks of human and animal intelligence. Research in psychology has shown that the use of multiple exploratory behaviors is crucial for ...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Most works based on diversity suggest that there exists only weak correlation between diversity and ensemble accuracy. We show that by combining the diversities with the classifica...
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
This paper presents novel likelihood estimation to be used for particle filter based object tracking. The likelihood estimation is built upon cascade object detector trained with ...