Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns (2022-05-19T00:00:00.000000Z)

TL;DR

An innovative nonconvex truncated Schatten p-norm for tensors (TSpN) is defined to approximate tensor rank and impute missing spatiotemporal traffic data under the LRTC framework and derives the global optimal solutions by integrating the alternating direction method of multipliers with generalized soft-thresholding (GST).

Authors

Tong Nie

1 papers

Guoyang Qin

1 papers

Jian Sun

1 papers

TL;DR

Authors

References74 items

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