57 search results - page 2 / 12 » Selecting features for object detection using an AdaBoost-co... |
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
PKDD
2009
Springer
13 years 12 months ago
2009
Springer
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
ICDAR
2009
IEEE
14 years 3 days ago
2009
IEEE
This paper presents a generic features selection method and its applications on some document analysis problems. The method is based on a genetic algorithm (GA), whose tness funct...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most use...
CVPR
2006
IEEE
13 years 11 months ago
2006
IEEE
This paper proposes a novel approach for multi-view multi-pose object detection using discriminative shapebased exemplars. The key idea underlying this method is motivated by nume...