Traffic Data Recovery and Outlier Detection Based on Non-negative Matrix Factorization and Truncated-Quadratic Loss Function
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8079-6_4
Reference14 articles.
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3. Nie, T., Qin, G., Sun, J.: Truncated tensor schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns. Trans. Res. Part C: Emerg. Technol. 141, 103737 (2022)
4. Gao, Y., Liu, J., Yan, X., Lan, M., Liu, Yu.: A spatiotemporal constraint non-negative matrix factorization model to discover intra-urban mobility patterns from taxi trips. Sustainability 11(15), 4214 (2019)
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