Analysis of correlation based dimension reduction methods

Improved algorithms for unsupervised discriminant projection

Detection of emerging new class using statistical hypothesis testing and density estimation

A SVM-based discretization method with application to associative classification

On applying linear discriminant analysis for multi-labeled problems

A comparison of generalized linear discriminant analysis algorithms

Quality assessment of gene selection in microarray data

Similarity-based sparse feature extraction using local manifold learning

A Relationship between LDA and the Generalized Minimum Squared Error Solution

Nonlinear Discriminant Analysis using Kernel Functions and the Generalized Singular Value Decomposition