485 search results - page 1 / 97 » A Discriminant Analysis for Undersampled Data |
AUSDM
2007
Springer
15 years 3 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
2003
IEEE
15 years 2 months ago
2003
IEEE
74
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PRL
2006
14 years 9 months ago
2006
Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
100
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PR
2008
14 years 9 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...