315 search results - page 56 / 63 » Linear Regression for Face Recognition |
79
Voted
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
EDBTW
2010
Springer
15 years 4 months ago
2010
Springer
To face the increasing demand from users, National Statistical Institutes (NSI) release different information products. The dissemination of this information should be performed ...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
79
Voted
ICCV
2001
IEEE
15 years 11 months ago
2001
IEEE
By representing images and image prototypes by linear subspaces spanned by "tangent vectors" (derivatives of an image with respect to translation, rotation, etc.), impre...
IJCAI
2007
14 years 11 months ago
2007
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...