381 search results - page 11 / 77 » Boosting linear discriminant analysis for face recognition |
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognit...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
ISCIS
2005
Springer
14 years 1 months ago
2005
Springer
In 3D face recognition systems, 3D facial shape information plays an important role. 3D face recognizers usually depend on point cloud representation of faces where faces are repre...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...