Quantifying morphology changes in time series data with skew
This paper examines strategies to quantify differences in the morphology of time series while accounting for time skew in the observed data. We adapt four measures originally designed for signal shape comparison: Dynamic Time-Warping (DTW), Earth Mover's Distance (EMD), Frochet Distance (FD), a...
Main Authors: | Sung, Phil, Syed, Zeeshan, Guttag, John V. |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Institute of Electrical and Electronics Engineers
2011
|
Online Access: | http://hdl.handle.net/1721.1/62155 https://orcid.org/0000-0003-0992-0906 |
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