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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書目詳細資料
Main Authors:	Chai, Woon Huei, Ho, Shen-Shyang, Quek, Hiok Chai
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Error Correction Sparse Representation
在線閱讀:	https://hdl.handle.net/10356/161775
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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