Time Series Alignment is a computational method that aligns temporal sequences by minimizing structural discrepancies in their timing or phase, distinguished from other time-series analysis techniques by its focus on synchronizing non-uniform or variable-rate temporal dynamics.
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242
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115
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2017–2026
32
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80
Derivative Dynamic Time Warping
Eamonn Keogh, Michael J. Pazzani · 2001 · 1.1K citations
Computing, Mathematics, Derivatives +10
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242
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115
Imperial College London
London, United Kingdom
4 h-index
14 publications
531 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
5 publications
763 citations
Monash University
Melbourne, Australia
3 h-index
6 publications
172 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
7 publications
289 citations
Institute of Technology and Business
České Budějovice, Czechia
3 h-index
8 publications
140 citations
RIKEN Center for Brain Science
Wako, Japan
3 h-index
8 publications
214 citations
Harvard University
Cambridge, United States
3 h-index
5 publications
1.1K citations
University of Oulu
Oulu, Finland
2 h-index
2 publications
105 citations
1–8 of 115
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- arXiv (Cornell University)
Repository · 5 publications · 262 citations
5
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- SHS Web of Conferences
3 publications · 56 citations
3
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- BMC Bioinformatics
2 publications · 61 citations
2
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- Pattern Recognition
2 publications · 131 citations
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- Neural Computation
2 publications · 47 citations
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