334 search results - page 26 / 67 » Diagonal principal component analysis for face recognition |
NIPS
1997
13 years 11 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
PAMI
2002
13 years 10 months ago
2002
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
ICIAR
2005
Springer
14 years 3 months ago
2005
Springer
Image communication is a significant research area which involves improvement in image coding and communication techniques. In this paper, Principal Component Analysis (PCA) is use...
AIPR
2002
IEEE
14 years 3 months ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
SCIA
2009
Springer
14 years 3 months ago
2009
Springer
A feature extraction method using multi-frequency bands is proposed for face recognition, named as the Multi-band Gradient Component Pattern (MGCP). The MGCP captures discriminativ...