Robust and Sparse Kernel-Free Quadratic Surface LSR via L<sub>2,p</sub>-Norm With Feature Selection for Multi-Class Image Classification
Least Squares Regression (LSR) is a powerful machine learning method for image classification and feature selection. In this study, a framework approach is introduced for the multi-classification problem based on the <inline-formula> <tex-math notation="LaTeX">$L_{2,p}$ </te...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10848070/ |
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