399 search results - page 7 / 80 » Robust Boosting for Learning from Few Examples |
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
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ICARCV
2008
IEEE
15 years 4 months ago
2008
IEEE
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...