281 search results - page 47 / 57 » Group-based learning: a boosting approach |
132
Voted
PRIB
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
77
Voted
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
PR
2006
14 years 9 months ago
2006
The lack of adequate training samples and the considerable variations observed in the available image collections due to aging, illumination and pose variations are the two key te...
94
Voted
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
In this paper we present an adaptive but robust object
detector for static cameras by introducing classifier grids.
Instead of using a sliding window for object detection we
pro...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Because of the large variation across different environments, a generic classifier trained on extensive data-sets may perform sub-optimally in a particular test environment. In th...