34 search results - page 3 / 7 » Comparison of Adaboost and ADTboost for Feature Subset Selec... |
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
In this paper, we address the problem of detecting pedestrians in still images. We introduce an algorithm for learning shapelet features, a set of mid?level features. These featur...
AVBPA
2005
Springer
14 years 2 months ago
2005
Springer
Most of the prior work in biometric literature has only emphasized on the issue of feature extraction and classification. However, the critical issue of examining the usefulness of...
DICTA
2003
13 years 10 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...