Tensor Completion Using Bilayer Multimode Low-Rank Prior and Total Variation.
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DOI: 10.1109/tnnls.2023.3266841
Abstract: In this article, we propose a novel bilayer low-rankness measure and two models based on it to recover a low-rank (LR) tensor. The global low rankness of underlying tensor is first encoded by LR matrix… read more here.
Keywords: low rankness; rankness; low rank; tensor completion ... See more keywords