59 search results - page 1 / 12 » Random Sampling for Subspace Face Recognition |
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 ...
IJCV
2006
13 years 4 months ago
2006
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
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...
PCM
2007
Springer
13 years 10 months ago
2007
Springer
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...