Extensible Lower Bound Function for Dynamic Time Warping - IEEE Xplore
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The similarity measurement of time series is a significant approach to mine the rich and valuable law information hidden in the massive time series data.
The similarity measurement of time series is a significant approach to mine the rich and valuable law information hidden in the massive time series data.
This paper first introduces a novel extensible lower bound function (LB_ex), then validates the effeteness of its lower bound tightness theoretically.
Feb 14, 2021 · Due to DTW's high computation time, lower bounds are often employed to screen poor matches. Many alternative lower bounds have been proposed, ...
Missing: Extensible | Show results with:Extensible
This work presents a new class of lower bounds that are tighter than the popular Keogh lower bound, while requiring similar computation time, ...
In this work, we present a new class of lower bounds that are tighter than the popular Keogh lower bound, while requiring similar computation time. Our new.
Missing: Extensible | Show results with:Extensible
廖律超,Liao Lyuchao,福建理工大学主页平台管理系统,廖律超教师个人主页（Prof.Lyuchao Liao）, Extensible Lower Bound Function for Dynamic Time Warping廖律超 ...
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This paper proposes the first exact approach for speeding up the all-pairwise DTW matrix calculation and demonstrates that the algorithm reduces the runtime ...
Oct 10, 2013 · Cascading lower bounds; the tightness of each bound is plotted as a function of its time complexity. Note that. LBKeoghEQ refers to Eq. (8) ...
UCR Suite [12]: It is the state of the art for fast NN-DTW and uses cascading lower bounds to replace LB in Algorithm A.1. • LB Keogh–PrunedDTW: The PrunedDTW.