522 search results - page 2 / 105 » Feature selection for ranking using boosted trees |
PRL
2008
13 years 5 months ago
2008
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
BIBE
2008
IEEE
13 years 11 months ago
2008
IEEE
— Retrieving similar images from large repository of heterogeneous biomedical images has been a difficult research task. In this paper, we develop a retrieval system that uses H...
IWBRS
2005
Springer
13 years 10 months ago
2005
Springer
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
CVPR
2009
IEEE
13 years 9 months ago
2009
IEEE
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
BMCBI
2005
13 years 5 months ago
2005
Background: The use of mass spectrometry as a proteomics tool is poised to revolutionize early disease diagnosis and biomarker identification. Unfortunately, before standard super...