Representation recovery via L₁-norm minimization with corrupted data
This paper studies the recovery probability of a state-of-the-art sparse recovery method, the optimization problem of YALL1, which has been rigorously used in face recognition, dense error correction, anomaly detection, etc. This work generalizes a theoretical work which is based on a special case o...
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Main Authors: | Chai, Woon Huei, Ho, Shen-Shyang, Quek, Hiok Chai |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/161775 |
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Institution: | Nanyang Technological University |
Language: | English |
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