A deterministic approach to regularized linear discriminant analysis
Open Access
- 1 March 2015
- journal article
- Published by Elsevier BV in Neurocomputing
- Vol. 151, 207-214
- https://doi.org/10.1016/j.neucom.2014.09.051
Abstract
No abstract availableKeywords
This publication has 49 references indexed in Scilit:
- A new perspective to null linear discriminant analysis method and its fast implementation using random matrix multiplication with scatter matricesPattern Recognition, 2012
- A hybrid LDA and genetic algorithm for gene selection and classification of microarray dataNeurocomputing, 2010
- A new and fast implementation for null space based linear discriminant analysisPattern Recognition, 2010
- Cancer classification by gradient LDA technique using microarray gene expression dataData & Knowledge Engineering, 2008
- A Gradient Linear Discriminant Analysis for Small Sample Sized ProblemNeural Processing Letters, 2007
- Regularized discriminant analysis and its application to face recognitionPattern Recognition, 2003
- Gene-expression profiles predict survival of patients with lung adenocarcinomaNature Medicine, 2002
- A direct LDA algorithm for high-dimensional data — with application to face recognitionPattern Recognition, 2001
- A new LDA-based face recognition system which can solve the small sample size problemPattern Recognition, 2000
- Regularized Discriminant AnalysisJournal of the American Statistical Association, 1989