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Latent Variable Model for Weather-Aware Traffic State Analysis.

, , и . ISIP, том 760 из Communications in Computer and Information Science, стр. 51-65. Springer, (2016)

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Akira Hayashima

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Asako Kinoshita

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Akira Satake

 

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Adversarial Spiral Learning Approach to Strain Analysis for Bridge Damage Detection., , , , и . DaWaK, том 11031 из Lecture Notes in Computer Science, стр. 49-58. Springer, (2018)GPS Trajectory Data Enrichment based on a Latent Statistical Model., , , , , , , и . ICPRAM, стр. 255-262. SciTePress, (2016)Real-time traffic incident detection using a probabilistic topic model., , и . Inf. Syst., (2015)Estimating Road Surface Condition Using Crowdsourcing., , , , и . ISIP, том 760 из Communications in Computer and Information Science, стр. 66-81. Springer, (2016)Real-time traffic incident detection using probe-car data on the Tokyo Metropolitan Expressway., , и . IEEE BigData, IEEE Computer Society, (2014)Latent Variable Model for Weather-Aware Traffic State Analysis., , и . ISIP, том 760 из Communications in Computer and Information Science, стр. 51-65. Springer, (2016)Structural Change Point Detection Using A Large Random Matrix and Sparse Modeling., , и . EDBT/ICDT Workshops, том 2322 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Divide-and-Conquer Parallelism for Learning Mixture Models., , , и . Trans. Large Scale Data Knowl. Centered Syst., (2016)Highly Efficient Parallel Framework: A Divide-and-Conquer Approach., , , и . DEXA (2), том 9262 из Lecture Notes in Computer Science, стр. 162-176. Springer, (2015)Traffic Incident Detection Using Probabilistic Topic Model., , и . EDBT/ICDT Workshops, том 1133 из CEUR Workshop Proceedings, стр. 323-330. CEUR-WS.org, (2014)