Robust GEPSVM Classifier: an efficient iterative optimization framework
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Publication:6180008
DOI10.1016/j.ins.2023.119986OpenAlexW4389537930MaRDI QIDQ6180008
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Publication date: 18 January 2024
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2023.119986
distance metric learning\(\mathrm{L}_1\)-norm and \(\mathrm{L_p}\)-norm distanceiterative optimization frameworkoutliers and noisesquared \(\mathrm{L}_2\)-norm distance
Cites Work
- Support-vector networks
- D.C. programming for sparse proximal support vector machines
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- Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion
- Dwarf mongoose optimization algorithm
- Robust L1-norm non-parallel proximal support vector machine
- Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification
- $\ell _{2,p}$ -Norm Based PCA for Image Recognition
- Discriminant Analysis via Joint Euler Transform and $\ell_{2,1}$ -Norm
- A classification method based on generalized eigenvalue problems
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