Now showing items 1-2 of 2

    • On-Line Dynamic Time Warping for Streaming Time Series 

      Oregui, I.; Pérez, A.; Del Ser, J.; Lozano, J.A. (2017-09)
      Dynamic Time Warping is a well-known measure of dissimilarity between time series. Due to its flexibility to deal with non-linear distortions along the time axis, this measure has been widely utilized in machine learning ...
    • On-line Elastic Similarity Measures for time series 

      Oregui, I.; Pérez, A.; Del Ser, J.; Lozano, J.A. (2019-04)
      The way similarity is measured among time series is of paramount importance in many data mining and machine learning tasks. For instance, Elastic Similarity Measures are widely used to determine whether two time series are ...