281 search results - page 14 / 57 » Group-based learning: a boosting approach |
PAMI
2012
13 years 3 days ago
2012
—It has been shown that the Universum data, which do not belong to either class of the classification problem of interest, may contain useful prior domain knowledge for training...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
TSMC
2008
14 years 9 months ago
2008
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
CIKM
2005
Springer
14 years 11 months ago
2005
Springer
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
CVPR
2006
IEEE
15 years 3 months ago
2006
IEEE
This paper proposes a novel approach for multi-view multi-pose object detection using discriminative shapebased exemplars. The key idea underlying this method is motivated by nume...