Spatiotemporal traffic data imputation via tensorial weighted Schatten-p norm minimization

Spatiotemporal traffic data imputation via tensorial weighted Schatten-p norm minimization

Spatiotemporal traffic data exhibit multi-granular low-rank structure due to their periodicity among different timelines. Traditional low rank data completion methods fail to characterize such properties and produce unsatisfactory results for data imputation. In this paper, a tensorial weighted Scha...

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Bibliographic Details
Main Authors: Hu, Y. (Author), Wang, S. (Author), Yin, B. (Author), Zhang, Y. (Author), Zhao, Y. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2022
Subjects:
Completion methods
Data imputation
Intelligent systems
Matrix forms
P-norm minimization
Property
Rank structure
Regularization terms
Selection scheme
Singular values
Tensors
Traffic data
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