243 search results - page 11 / 49 » Learning Boosted Asymmetric Classifiers for Object Detection |
FGR
2004
IEEE
13 years 11 months ago
2004
IEEE
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
JMLR
2006
13 years 7 months ago
2006
We describe the use of machine learning and data mining to detect and classify malicious executables as they appear in the wild. We gathered 1,971 benign and 1,651 malicious execu...
CLOR
2006
13 years 11 months ago
2006
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
ICIP
2007
IEEE
13 years 11 months ago
2007
IEEE
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...