Accelerated Low-Rank Tensor Completion via Projected Tensor Block Coordinate Descent

The low-rank tensor completion problem aims to find a low-rank approximation of a tensor by filling in missing entries from partially observed entries to enhance the accuracy of the tensor data analysis. Among various low-rank tensor approximation methods, Tucker decomposition with nuclear norm mini...

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Bibliographic Details

Published in:	IEEE Access
Main Author:	Geunseop Lee
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Tensor completion Tucker decomposition nuclear norm minimization color image inpainting traffic data completion
Online Access:	https://ieeexplore.ieee.org/document/11134371/