Noisy Low-Tubal-Rank Tensor Completion Through Iterative Singular Tube Thresholding

In many applications, data organized in tensor form contains noise and missing entries. In this paper, the goal is to complete a tensor from its partial noisy observations. Specifically, we consider low-tubal-rank tensors sampled by element-wise Bernoulli sampling with additive sub-exponential noise...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Andong Wang, Dongxu Wei, Bo Wang, Zhong Jin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2018-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Tensor completion tensor SVD soft-impute multidimensional signal processing
Online-Zugang:	https://ieeexplore.ieee.org/document/8395374/
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