1765 search results - page 4 / 353 » Combinations of Weak Classifiers |
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Most works based on diversity suggest that there exists only weak correlation between diversity and ensemble accuracy. We show that by combining the diversities with the classifica...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
SSPR
2000
Springer
14 years 3 days ago
2000
Springer
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
While face detection seems a solved problem under general conditions, most state-of-the-art systems degrade rapidly when faces are partially occluded by other objects. This paper ...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...