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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… Expand
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Papers overview

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2019
2019
High-dimensional classification is an important and challenging statistical problem. We develop a set of quadratic discriminant… Expand
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2015
2015
In this work, we have proposed the Pareto-optimal discriminant analysis (PDA), an optimally designed linear subspace learning… Expand
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2013
2013
Univariate optimal discriminant analysis (UniODA) is a non-parametric classification methodology for discriminating between two… Expand
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2013
2013
Investigators in all quantitative disciplines are often interested in discovering if statistically significant differences exist… Expand
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2011
2011
By making use of compressive mapping and isomorphic mapping in the kernel extension of graph embedding,this paper proves that the… Expand
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2010
2010
A fast algorithm is presented for optimal discriminant analysis and quadratic discriminant analysis. In this algorithm, the… Expand
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2009
2009
Two-dimensional(2-D) Fisher linear optimal discriminant analysis,which considers the gray information and spatial neighbor… Expand
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2007
2007
Extracting the most discriminatory features is important in face recognition tasks. In the case of a small number of face samples… Expand
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2007
2007
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas… Expand
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1994
1994
Abstract For classification problems involving two categories and two or more attributes, multivariable optimal discriminant… Expand
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