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Dynamic time warping -tekniikan käyttäminen funktionaalisessa magneettikuvantamisessa
, 2016 Kuusi, Eero
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Individual Virtues, Social Movements, and Allyship in the Sphere of Intellectual Disability
Journal of Social Philosophy, EarlyView.
Tommy Ness
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arXiv.org, 2023
The Dynamic Time Warping (DTW) distance is a popular similarity measure for polygonal curves (i.e., sequences of points). It finds many theoretical and practical applications, especially for temporal data, and is known to be a robust, outlier-insensitive
K. Bringmann +5 more
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The Dynamic Time Warping (DTW) distance is a popular similarity measure for polygonal curves (i.e., sequences of points). It finds many theoretical and practical applications, especially for temporal data, and is known to be a robust, outlier-insensitive
K. Bringmann +5 more
semanticscholar +1 more source
Exact indexing of dynamic time warping
Knowledge and Information Systems, 2002Eamonn J. Keogh, C. Ratanamahatana
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Weighted Dynamic Time Warping for Time Series
International Journal of Bifurcation and Chaos, 2023Recurrence network is a typical time series analysis method. However, irregular sampling may overshadow the dynamic features characterized by traditional recurrence network method, which makes the method ineffective. This paper introduces dynamic time warping method to determine the distance between time series segments.
Guangyu Yang, Shuyan Xia
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A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies Detection
IEEE transactions on intelligent transportation systems (Print), 2022To discover the condition of roads, a large number of detection algorithms have been proposed, most of which apply machine learning methods by time and frequency processing in acceleration and velocity data.
Zengwei Zheng +6 more
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Dynamic Time Warping as an Alternative to Windowed Cross Correlation in Seismological Applications
Seismological Research Letters, 2022We investigate the feasibility of using the dynamic time warping (DTW) technique as an alternative to windowed cross correlation (WCC) for an indirect measure to quantify both the similarity and relationship between two seismic time series.
U. Kumar, C. Legendre, Li Zhao, B. Chao
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