most citedWATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data

22 citations · 22 across the 1 of their papers we have counts for

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1 paper

cs.AI2022★ 22 cited

WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data

Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski +2

Detecting relevant changes in dynamic time series data in a timely manner is crucially important for many data analysis tasks in real-world settings. Change point detection methods…