54 search results - page 4 / 11 » Cost-Sensitive Subspace Learning for Face Recognition |
ICPR
2008
IEEE
14 years 7 days ago
2008
IEEE
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
KDD
2004
ACM
14 years 6 months ago
2004
ACM
Subspace learning approaches have attracted much attention in academia recently. However, the classical batch algorithms no longer satisfy the applications on streaming data or la...
IBPRIA
2007
Springer
13 years 9 months ago
2007
Springer
Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the ...
CVPR
2001
IEEE
14 years 7 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
IVC
2006
13 years 5 months ago
2006
This paper investigates the use of range images of faces for recognizing people. 3D scans of faces lead to range images that are linearly projected to low-dimensional subspaces fo...