491 search results - page 30 / 99 » Support Vector Machines in Face Recognition with Occlusions |
AC
2003
Springer
13 years 11 months ago
2003
Springer
In this paper two methods for human face recognition and the influence of location mistakes are shown. First one, Principal Components Analysis (PCA), has been one of the most appl...
CORR
2008
Springer
13 years 8 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...
AMFG
2003
IEEE
14 years 1 months ago
2003
IEEE
This paper provides a new fully automatic framework to analyze facial action units, the fundamental building blocks of facial expression enumerated in Paul Ekman’s Facial Action...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We present a novel method to enhance training set for face detection with nonlinearly generated examples from the original data. The motivation is from Support Vector Machines (SV...
AHS
2007
IEEE
14 years 2 months ago
2007
IEEE
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...