1568 search results - page 40 / 314 » Boosting Object Detection Using Feature Selection |
108
Voted
PRL
2008
14 years 10 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...
CVPR
2003
IEEE
16 years 8 days ago
2003
IEEE
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
In this paper, a novel nested cascade detector for multi-view face detection is presented. This nested cascade is learned by Schapire and Singer's improved boosting algorithm...
115
Voted
CVPR
2007
IEEE
16 years 8 days ago
2007
IEEE
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
ICPR
2000
IEEE
15 years 11 months ago
2000
IEEE
Motion segmentation using feature correspondences can be regarded as a combinatorial problem. A motion segmentation algorithm using feature selection and subspace method is propos...