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IJCNLP
2005
Springer
14 years 1 months ago
2005
Springer
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
CSB
2005
IEEE
13 years 9 months ago
2005
IEEE
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
PRL
2010
13 years 6 months ago
2010
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
CAIP
2003
Springer
14 years 23 days ago
2003
Springer
Fisher linear discriminant analysis (FLDA) based on variance ratio is compared with scatter linear discriminant (SLDA) analysis based on determinant ratio. It is shown that each o...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...