Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation.
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DOI: 10.1109/tnnls.2022.3215983
Abstract: Tensor analysis has received widespread attention in high-dimensional data learning. Unfortunately, the tensor data are often accompanied by arbitrary signal corruptions, including missing entries and sparse noise. How to recover the characteristics of the corrupted… read more here.
Keywords: tensor; low rank; generalized transformed; transformed tensor ... See more keywords