1568 search results - page 40 / 314 » Boosting Object Detection Using Feature Selection |
138
click to vote
PRL
2008
15 years 2 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...
94
Voted
CVPR
2003
IEEE
16 years 4 months 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...
117
Voted
ICPR
2004
IEEE
16 years 3 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...
146
click to vote
CVPR
2007
IEEE
16 years 4 months 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...
104
click to vote
ICPR
2000
IEEE
16 years 3 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...