150 search results - page 5 / 30 » Feature selection combining genetic algorithm and Adaboost c... |
ICDAR
2003
IEEE
15 years 3 months ago
2003
IEEE
Classifier subset selection (CSS) from a large ensemble is an effective way to design multiple classifier systems (MCSs). Given a validation dataset and a selection criterion, the...
105
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PRL
2008
14 years 9 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...
110
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SSPR
2004
Springer
15 years 3 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
IWINAC
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. In this paper we explore the use of the Voxel-based Morphometry (VBM) detection clusters to guide the feature extraction processes for the detection of Alzheimer's d...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
A new learning strategy for object detection is presented.
The proposed scheme forgoes the need to train a collection
of detectors dedicated to homogeneous families of poses,
an...