Iterative Reconstrained Low-Rank Representation via Weighted Nonconvex Regularizer
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DOI: 10.1109/access.2018.2870371
Abstract: Benefiting from the joint consideration of geometric structures and low-rank constraint, graph low-rank representation (GLRR) method has led to the state-of-the-art results in many applications. However, it faces the limitations that the structure of errors… read more here.
Keywords: rank representation; via weighted; iterative reconstrained; low rank ... See more keywords