An enhanced approach to the robust discriminant analysis and class sparsity based embedding

DOI10.1016/J.NEUNET.2020.12.025zbMath1521.68129OpenAlexW3116227316MaRDI QIDQ6078675

A. Khoder, F. Dornaika

Publication date: 28 September 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2020.12.025

zbMATH Keywords

feature extractionsupervised learninglinear embeddingdiscriminant modelimage categorizationinter-class sparsity

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Theoretical comparison between the Gini Index and Information Gain criteria
• Advances in feature selection for data and pattern recognition
• Linear embedding by joint robust discriminant analysis and inter-class sparsity
• Inter-class sparsity based discriminative least square regression
• Regularization and Variable Selection Via the Elastic Net

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