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Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW

Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW

16 September 2020
S. Alaee
Kaveh Kamgar
Eamonn Keogh
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Matrix Profile XXII: Exact Discovery of Time Series Motifs under DTW"

4 / 4 papers shown
Title
MoCha-Stereo: Motif Channel Attention Network for Stereo Matching
MoCha-Stereo: Motif Channel Attention Network for Stereo Matching
Ziyang Chen
Wei Long
He Yao
Yongjun Zhang
Bingshu Wang
Yongbin Qin
Jia Wu
3DV
108
32
0
10 Apr 2024
LoCoMotif: Discovering time-warped motifs in time series
LoCoMotif: Discovering time-warped motifs in time series
Daan Van Wesenbeeck
Aras Yurtman
Wannes Meert
Hendrik Blockeel
AI4TS
45
2
0
29 Nov 2023
Learning Temporal Point Processes for Efficient Retrieval of Continuous
  Time Event Sequences
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
Vinayak Gupta
Srikanta J. Bedathur
A. De
AI4TS
59
13
0
17 Feb 2022
IRMAC: Interpretable Refined Motifs in Binary Classification for Smart
  Grid Applications
IRMAC: Interpretable Refined Motifs in Binary Classification for Smart Grid Applications
Rui Yuan
S. A. Pourmousavi
W. Soong
Giang Nguyen
Jon A. R. Liisberg
58
7
0
23 Sep 2021
1