58 search results - page 2 / 12 » Joint Boosting Feature Selection for Robust Face Recognition |
CVPR
2003
IEEE
14 years 7 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...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
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...
TIP
2011
12 years 11 months ago
2011
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Recently, we developed NIR based face recognition for highly accurate face recognition under illumination variations [10]. In this paper, we present a part-based method for improv...