The paper proposes three persistent-homology methods that estimate recurrence times in multi-variate time series, with stability proofs and a new industrial benchmark dataset.
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Topology-driven identification of repetitions in multi-variate time series
The paper proposes three persistent-homology methods that estimate recurrence times in multi-variate time series, with stability proofs and a new industrial benchmark dataset.