A Fast Proximal Alternating Method for Robust Matrix Factorization of Matrix Recovery with Outliers
This paper concerns a class of robust factorization models of low-rank matrix recovery, which have been widely applied in various fields such as machine learning and imaging sciences. An <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline">...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/9/1466 |
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