277 search results - page 13 / 56 » Fast Linear Discriminant Analysis Using Binary Bases |
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
ACII
2005
Springer
13 years 9 months ago
2005
Springer
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning. Nevertheless, these a...
DISOPT
2007
13 years 7 months ago
2007
The class Max (r, 2)-CSP (or simply Max 2-CSP) consists of constraint satisfaction problems with at most two r-valued variables per clause. For instances with n variables and m bin...
PAMI
2007
13 years 7 months ago
2007
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...