15 search results - page 1 / 3 » Extended Two-Dimensional PCA for Efficient Face Representati... |
CORR
2010
Springer
13 years 4 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...
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 ...
NIPS
2004
13 years 6 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Linear discriminant analysis (LDA) is a well-known scheme for feature extraction and dimensionality reduction of labeled data in a vector space. Recently, LDA has been extended to...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
We discuss a new multi-view face recognition method that extends a recently proposed nonlinear tensor decomposition technique. We use this technique to provide a generative face m...