447 search results - page 6 / 90 » Linear discriminant analysis for data with subcluster struct... |
PKDD
2009
Springer
14 years 3 months ago
2009
Springer
JMLR
2006
13 years 10 months ago
2006
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
CVPR
2011
IEEE
13 years 7 months ago
2011
IEEE
A convenient way of dealing with image sets is to represent them as points on Grassmannian manifolds. While several recent studies explored the applicability of discriminant analy...
AUSDM
2007
Springer
14 years 4 months ago
2007
Springer
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
ICDM
2009
IEEE
14 years 5 months ago
2009
IEEE
Abstract—Linear discriminant analysis (LDA) is a wellknown dimension reduction approach, which projects highdimensional data into a low-dimensional space with the best separation...