A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif - researchr publication authors

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Makoto Imamura, Takaaki Nakamura. A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif. In Guihai Chen, Latifur Khan, Xiaofeng Gao 0001, Meikang Qiu, Witold Pedrycz, Xindong Wu 0001, editors, IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023. pages 1067-1072, IEEE, 2023. [doi]

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