264 search results - page 7 / 53 » Boosting products of base classifiers |
ICML
2005
IEEE
16 years 7 hour ago
2005
IEEE
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...
APIN
2010
14 years 11 months ago
2010
Abstract. This paper introduces a robust variant of AdaBoost, cwAdaBoost, that uses weight perturbation to reduce variance error, and is particularly effective when dealing with da...
ICPR
2008
IEEE
16 years 12 days ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
ICPR
2008
IEEE
16 years 12 days ago
2008
IEEE
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
HIS
2004
15 years 18 days ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...