Research Article
Regularized Linear Discriminant Analysis Via A New difference-of-convex algorithm with extrapolation
https://doi.org/10.21203/rs.3.rs-2112437/v1
This work is licensed under a CC BY 4.0 License
published 07 Jul, 2023
Read the published version in Journal of Inequalities and Applications →
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In this paper, we transform the classical linear discriminant analysis (LDA) into a smooth difference-of-convex optimization problem. Then, a new difference-of-convex algorithm with extrapolation is introduced and the convergence of thealgorithm is established. Finally, for face recognition problem, the proposed algorithm achieves betterclassification performance compared with several current algorithms in the literature.
AMS Subject Classification: 15A18; 15A69
Regularized linear discriminant analysis
difference-of-convex
Face recognition
No competing interests reported.
published 07 Jul, 2023
Read the published version in Journal of Inequalities and Applications →
Editorial decision: Major revision
22 Dec, 2022
Reviews received at journal
06 Nov, 2022
Reviewers agreed at journal
16 Oct, 2022
Reviewers invited by journal
29 Sep, 2022
Editor assigned by journal
28 Sep, 2022
Submission checks completed at journal
28 Sep, 2022
First submitted to journal
28 Sep, 2022
You are reading this latest preprint version