Scalable low-rank tensor learning for spatiotemporal traffic data imputation

标题
Scalable low-rank tensor learning for spatiotemporal traffic data imputation
作者
关键词
Spatiotemporal traffic data, High-dimensional data, Missing data imputation, Low-rank tensor completion, Linear unitary transformation, Quadratic variation
出版物
出版商
Elsevier BV
发表日期
2021-06-10
DOI
10.1016/j.trc.2021.103226

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