High-Dimensional Quadratic Discriminant Analysis Under Spiked Covariance Model

High-Dimensional Quadratic Discriminant Analysis Under Spiked Covariance Model

Quadratic discriminant analysis (QDA) is a widely used classification technique that generalizes the linear discriminant analysis (LDA) classifier to the case of distinct covariance matrices among classes. For the QDA classifier to yield high classification performance, an accurate estimation of the...

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Bibliographic Details
Main Authors: Houssem Sifaou, Abla Kammoun, Mohamed-Slim Alouini
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
High-dimensional data
quadratic discriminant analysis
random matrix theory
spiked covariance models
Online Access:https://ieeexplore.ieee.org/document/9125879/

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