26 search results - page 1 / 6 » Random Subspaces and Subsampling for 2-D Face Recognition |
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
Random subspaces are a popular ensemble construction technique that improves the accuracy of weak classifiers. It has been shown, in different domains, that random subspaces combi...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
FGR
2004
IEEE
13 years 8 months ago
2004
IEEE
LDA is a popular subspace based face recognition approach. However, it often suffers from the small sample size problem. When dealing with the high dimensional face data, the LDA ...
TIP
2008
13 years 4 months ago
2008
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...