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Linear discriminant analysis

Known as: Fisher discriminant analysis, Fisher linear discriminant, Multiclass LDA 
Linear discriminant analysis (LDA) is a generalization of Fisher's linear discriminant, a method used in statistics, pattern recognition and machine… 
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Papers overview

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2011
2011
In this paper, the sparse representation computed by lminimization with quadratic constraints is employed to model the i-vectors… 
2008
2008
This paper delves into the problem of face recognition using color as an important cue in improving the accuracy of recognition… 
2002
2002
Data mining is a collection of analytical techniques to uncover new trends and patterns in massive databases. These data mining… 
2001
2001
Economic restructuring over the last decade or so has created a wide diversity of positive and negative outcomes for regional… 
1999
1999
The importance of image retrieval systems which search image databases for images that users want to see has been increasing… 
Review
1996
Review
1996
The article is an experience report on identifying fault prone modules in a subsystem of the Joint Surveillance Target Attack… 
1993
1993
  • S. R. DelwicheK. Norris
  • 1993
  • Corpus ID: 53058020
Various forms of discriminant analysis models have been developed and tested for distinguishing two classes of wheat-hard red… 
Highly Cited
1979
Highly Cited
1979
A method of quantitative electroencephalogram (EEG) analysis, based on concepts drawn from syntactic pattern recognition theories…