293 search results - page 19 / 59 » Methods for learning classifier combinations: no clear winne... |
ICCV
2001
IEEE
14 years 10 months ago
2001
IEEE
We present a component-based method and two global methods for face recognition and evaluate them with respect to robustness against pose changes. In the component system we first...
CVPR
2009
IEEE
15 years 3 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
2001
IEEE
14 years 10 months ago
2001
IEEE
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
EPIA
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. Robots need to ground their external vocabulary and internal symbols in observations of the world. In recent works, this problem has been approached through combinations ...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...