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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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2015
2015
In this work, we have proposed the Pareto-optimal discriminant analysis (PDA), an optimally designed linear subspace learning… 
2013
2013
Univariate optimal discriminant analysis (UniODA) is a non-parametric classification methodology for discriminating between two… 
2013
2013
Investigators in all quantitative disciplines are often interested in discovering if statistically significant differences exist… 
2011
2011
By making use of compressive mapping and isomorphic mapping in the kernel extension of graph embedding,this paper proves that the… 
2010
2010
This article traces the origins and development of the use of optimal data analysis (ODA) within the Department of Psychology at… 
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…