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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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Data miningDecision treeFactor analysisIEEE Transactions on Pattern Analysis and Machine Intelligence
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Statistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Pareto-optimal discriminant analysis
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
Initial Use of Hierarchically Optimal Classification Tree Analysis In Medical Research
Univariate optimal discriminant analysis (UniODA) is a non-parametric classification methodology for discriminating between two… Expand
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2013
2013
Statistical Power of Optimal Discrimination with a Normal Attribute and Two Classes: One-Tailed Hypotheses
Investigators in all quantitative disciplines are often interested in discovering if statistically significant differences exist… Expand
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2011
2011
Optimal Discriminant Analysis Based on Kernel Extension of Graph Embedding and Face Recognition
By making use of compressive mapping and isomorphic mapping in the kernel extension of graph embedding,this paper proves that the… Expand
2010
2010
Reduction of processing time for optimal and quadratic discriminant analyses
A fast algorithm is presented for optimal discriminant analysis and quadratic discriminant analysis. In this algorithm, the… Expand
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2010
2010
The Loyola Experience (1993-2009): Optimal Data Analysis in the Department of Psychology
This article traces the origins and development of the use of optimal data analysis (ODA) within the Department of Psychology at… Expand
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2009
2009
Infrared Image Segmentation Using Two-Dimensional Fisher Linear Optimal Discriminant Analysis and Particle Swarm Optimization
Two-dimensional(2-D) Fisher linear optimal discriminant analysis,which considers the gray information and spatial neighbor… Expand
2007
2007
Face Recognition Based on Kernel Fisher Nonlinear Optimal Discriminant Analysis
Extracting the most discriminatory features is important in face recognition tasks. In the case of a small number of face samples… Expand
2007
2007
Sparse Kernels for Bayes Optimal Discriminant Analysis
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas… Expand
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1994
1994
The WARMACK-GONZALEZ algorithm for linear two-category multivariable optimal discriminant analysis
Abstract For classification problems involving two categories and two or more attributes, multivariable optimal discriminant… Expand
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