8 search results - page 1 / 2 » Fusion of Support Vector Classifiers for Parallel Gabor Meth... |
MCS
2007
Springer
13 years 10 months ago
2007
Springer
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
IDEAL
2007
Springer
13 years 10 months ago
2007
Springer
We present a face verification system using Parallel Gabor Principal Component Analysis (PGPCA) and fusion of Support Vector Machines (SVM) scores. The algorithm has been tested on...
TIFS
2010
12 years 11 months ago
2010
Biometric fusion consolidates the output of multiple biometric classifiers to render a decision about the identity of an individual. We consider the problem of designing a fusion s...
AC
2003
Springer
13 years 8 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...
ICIAP
2003
ACM
13 years 9 months ago
2003
ACM
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only 2D information, in fact, PCA is practically the method of choice for ...