A Flexible and Robust Tensor Completion Approach for Traffic Data Recovery With Low-Rankness
Data missing phenomena and random anomalies are ubiquitous in intelligent transportation systems (ITS), resulting in poor data quality and usability, which is a major impediment to real-world ITS applications. Most studies regarding traffic data recovery either assume that the original data are clea...
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Veröffentlicht in: | IEEE transactions on intelligent transportation systems 2024-03, Vol.25 (3), p.2558-2572 |
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