55 search results - page 1 / 11 » Random Subspace Two-Dimensional PCA for Face Recognition |
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 ...
CORR
2010
Springer
13 years 3 months ago
2010
Springer
In this paper a novel method called Extended TwoDimensional PCA (E2DPCA) is proposed which is an extension to the original 2DPCA. We state that the covariance matrix of 2DPCA is e...
ISNN
2007
Springer
13 years 10 months ago
2007
Springer
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
IBPRIA
2007
Springer
13 years 10 months ago
2007
Springer
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
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...