71 search results - page 3 / 15 » Boosting recombined weak classifiers |
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
IWBRS
2005
Springer
13 years 10 months ago
2005
Springer
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
ROBOCUP
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In the present article a framework for the robust detection of mobile robots using nested cascades of boosted classifiers is proposed. The boosted classifiers are trained...
ML
2002
ACM
13 years 4 months ago
2002
ACM
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...