441 search results - page 6 / 89 » Linear Discriminant Analysis for Signatures |
ICPR
2006
IEEE
14 years 3 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
ICPR
2008
IEEE
14 years 4 months ago
2008
IEEE
Linear discriminant analysis (LDA) is a widely-used feature extraction method in classification. However, the original LDA has limitations due to the assumption of a unimodal str...
ICPR
2008
IEEE
14 years 4 months ago
2008
IEEE
Two Dimensional Linear Discriminant Analysis (2DLDA) has received much interest in recent years. However, 2DLDA could make pairwise distances between any two classes become signi...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
Linear discriminant analysis (LDA) is a widely used feature extraction method for classification. We introduce distributed implementations of different versions of LDA, suitable ...
IJON
2010
13 years 8 months ago
2010
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....