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Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching
2009
IEEE Transactions on Pattern Analysis and Machine Intelligence
In a way similar to the string-to-string correction problem we address time series similarity in the light of a time-series-to-time-series-correction problem for which the similarity between two time series is measured as the minimum cost sequence of "edit operations" needed to transform one time series into another. To define the "edit operations" we use the paradigm of a graphical editing process and end up with a dynamic programming algorithm that we call Time Warp Edit Distance (TWED). TWED
doi:10.1109/tpami.2008.76
pmid:19110495
fatcat:mdalo7eyefc33nn7dwhztc4soa