Representation recovery via L₁-norm minimization with corrupted data

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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Bibliographic Details
Main Authors: Chai, Woon Huei, Ho, Shen-Shyang, Quek, Hiok Chai
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Error Correction
Sparse Representation
Online Access:https://hdl.handle.net/10356/161775
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/161775

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