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Optimal discriminant analysis

Optimal Discriminant Analysis (ODA) and the related classification tree analysis (CTA) are exact statistical methods that maximize predictive… 
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Papers overview

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2020
2020
Optimal Discriminant Analysis (ODA) is a machine learning algorithm that was introduced over 25 years ago to offer an alternative… 
2013
2013
Univariate optimal discriminant analysis (UniODA) is a non-parametric classification methodology for discriminating between two… 
2011
2011
By making use of compressive mapping and isomorphic mapping in the kernel extension of graph embedding,this paper proves that the… 
2009
2009
Two-dimensional(2-D) Fisher linear optimal discriminant analysis,which considers the gray information and spatial neighbor… 
2007
2007
Extracting the most discriminatory features is important in face recognition tasks. In the case of a small number of face samples… 
2007
2007
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas… 
2004
2004
A novel method based on multi-modal discriminant analysis is proposed to reduce feature dimensionality. First, each class is… 
1997
1997
Directional (one-tailed) two-category univariable optimal discriminant analysis has proved highly useful for applications…