150 search results - page 1 / 30 » Feature selection combining genetic algorithm and Adaboost c... |
ICPR
2008
IEEE
14 years 5 days ago
2008
IEEE
IWBRS
2005
Springer
13 years 11 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...
MCS
2007
Springer
13 years 12 months ago
2007
Springer
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
ICCCN
2007
IEEE
13 years 5 months ago
2007
IEEE
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
DICTA
2003
13 years 7 months ago
2003
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...