Affine Subspace Robust Low-Rank Self-Representation: from Matrix to Tensor.
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DOI: 10.1109/tpami.2023.3257407
Abstract: Low-rank self-representation based subspace learning has confirmed its great effectiveness in a broad range of applications. Nevertheless, existing studies mainly focus on exploring the global linear subspace structure, and cannot commendably handle the case where… read more here.
Keywords: rank self; subspace; low rank; self representation ... See more keywords