AI RESEARCH
Robust Principal Component Completion
arXiv CS.LG
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ArXi:2603.25132v1 Announce Type: cross Robust principal component analysis (RPCA) seeks a low-rank component and a sparse component from their summation. Yet, in many applications of interest, the sparse foreground actually replaces, or occludes, elements from the low-rank background. To address this mismatch, a new framework is proposed in which the sparse component is identified indirectly through determining its.