Bayesian Robust Tensor Decomposition Based on MCMC Algorithm for Traffic Data Completion

Bayesian Robust Tensor Decomposition Based on MCMC Algorithm for Traffic Data Completion

Data loss is a common problem in intelligent transportation systems (ITSs). And the tensor-based interpolation algorithm has obvious superiority in multidimensional data interpolation. In this paper, a Bayesian robust tensor decomposition method (MBRTF) based on the Markov chain Monte Carlo (MCMC) a...

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Bibliographic Details
Main Authors: Longsheng Huang, Yu Zhu, Hanzeng Shao, Lei Tang, Yun Zhu, Gaohang Yu
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:IET Signal Processing
Online Access:http://dx.doi.org/10.1049/sil2/4762771
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