1765 search results - page 75 / 353 » Combinations of Weak Classifiers |
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...
LREC
2010
13 years 10 months ago
2010
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
In this paper we present a combined approach for ob-
ject localization and classification. Our contribution is two-
fold. (a) A contextual combination of localization and clas-
...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...