277 search results - page 6 / 56 » Fast Linear Discriminant Analysis Using Binary Bases |
TNN
2008
13 years 7 months ago
2008
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
IJON
2010
13 years 6 months ago
2010
: Laplacian Linear Discriminant Analysis (LapLDA) and Semi-supervised Discriminant Analysis (SDA) are two recently proposed LDA methods. They are developed independently with the a...
IPCV
2008
13 years 9 months ago
2008
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
PAMI
2011
13 years 2 months ago
2011
This paper proposes a general method for improving image descriptors using discriminant projections. Two methods based on Linear Discriminant Analysis have been recently introduce...
APLAS
2005
ACM
14 years 1 months ago
2005
ACM
Many problems in program analysis can be expressed naturally and concisely in a declarative language like Datalog. This makes it easy to specify new analyses or extend or compose e...