51 search results - page 9 / 11 » Multilinear principal component analysis for face recognitio... |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In the past decade or so, subspace methods have been largely used in face recognition ? generally with quite success. Subspace approaches, however, generally assume the training d...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
A fast algorithm, Accelerated Kernel Feature Analysis (AKFA), that discovers salient features evidenced in a sample of n unclassified patterns, is presented. Like earlier kernel-b...
IJON
2008
13 years 7 months ago
2008
In many computer vision tasks like face recognition and image retrieval, one is often confronted with high-dimensional data. Procedures that are analytically or computationally ma...
TNN
2008
13 years 6 months ago
2008
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
NIPS
2004
13 years 8 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...