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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Hlavní autor: Geunseop Lee
Médium: Artigo
Jazyk:Inglês
Vydáno: IEEE 2025-01-01
Edice:IEEE Access
Témata:
Tensor completion
Tucker decomposition
nuclear norm minimization
color image inpainting
traffic data completion
On-line přístup:https://ieeexplore.ieee.org/document/11134371/
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