Fuzzy Sparse Deviation Regularized Robust Principal Component Analysis

Robust principal component analysis (RPCA) is a technique that aims to make principal component analysis (PCA) robust to noise samples. The current modeling approaches of RPCA were proposed by analyzing the prior distribution of the reconstruction error terms. However, these methods ignore the influ...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 27., Seite 5645-5660
1. Verfasser:	Gao, Yunlong (VerfasserIn)
Weitere Verfasser:	Lin, Tingting, Pan, Jinyan, Nie, Feiping, Xie, Youwei
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article