150 search results - page 5 / 30 » Feature selection combining genetic algorithm and Adaboost c... |
ICDAR
2003
IEEE
14 years 21 days 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...
PRL
2008
13 years 7 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...
SSPR
2004
Springer
14 years 23 days 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
13 years 12 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
14 years 1 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...