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A common problem in time series analysis is mapping the related elements between two sequences as they progress in time. Methods such as dynamic time warping (DTW) have good performance in mapping time series signals with repeated (warped) elements relative to a reference signal. However, there is not an adequate method for mapping time series signals with inserted or deleted elements. This paper ...

Hyperdimensional Bayesian Time Mapping (HyperBaT): A Probabilistic Approach to Time Series Mapping of Non-Identical Sequences