71 search results - page 9 / 15 » Boosting recombined weak classifiers |
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
ICIP
2007
IEEE
14 years 11 months ago
2007
IEEE
In this paper we propose a domain partitioning RankBoost approach for face recognition. This method uses Local Gabor Binary Pattern Histogram (LGBPH) features for face representat...
ICCV
2005
IEEE
14 years 11 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
DAGM
2007
Springer
14 years 1 months ago
2007
Springer
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...