An Improved Binary Quadratic Discriminant Analysis Classifier by Using Robust Regularization

In many real classification problems where a limited number of training samples is available, the linear classifiers based on discriminant analysis are unable to deliver accurate results. Moreover, the testing and/or the training data can be erroneous due to noise contamination which further degrade...

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Detalles Bibliográficos

Principais autores:	Alam Zaib, Shahid Khattak, Ghulam Mujtaba, Shahid Khan, Amal Al-Rasheed
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	Discriminant analysis LDA QDA regularization data classification
Acceso en liña:	https://ieeexplore.ieee.org/document/10620913/
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