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math.OC2024
Reweighted Quasi Norm Regularized Low-Rank Factorization for Matrix Robust PCA
Zhenzhi Qin, Liping Zhang
Robust Principal Component Analysis (RPCA) and its associated non-convex relaxation methods constitute a significant component of matrix completion problems, wherein matrix factori…
math.OC2024
Low-rank quaternion tensor completion for color video inpainting via a novel factorization strategy
Zhenzhi Qin, Zhenyu Ming, Defeng Sun +1
Recently, a quaternion tensor product named Qt-product was proposed, and then the singular value decomposition and the rank of a third-order quaternion tensor were given. From a mo…