Results 21 to 30 of about 15,984 (207)
Time dynamics of symptom progression in patients with acute pancreatitis: a Dynamic Time Warping analysis [PDF]
Frontiers in MedicineBackgroundAcute pancreatitis (AP) morbidity has been increasing in recent years. Patients with AP exhibit highly variable symptom patterns over time, posting challenges to traditional analytical methods.
Rui Han +11 more
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Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package
Journal of Statistical Software, 2009 Dynamic time warping is a popular technique for comparing time series, providing both a distance measure that is insensitive to local compression and stretches and the warping which optimally deforms one of the two input series onto the other.
Toni Giorgino
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MathematicsThis study presents a comprehensive evaluation of the quick invariant signature (QIS), dynamic time warping (DTW), and a novel hybrid QIS + DTW approach for time series analysis.
Hamid Reza Shahbazkia +4 more
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Improved Algorithm of Dynamic Time Warping Based on LDTW [PDF]
Jisuanji gongcheng, 2021 Dynamic Time Warping Under Limited Warping Path Length(LDTW) is an algorithm constructed based on the Dynamic Time Warping(DTW) algorithm,and solves the problem of matching points without similarity in DTW,but it tends to be computationally heavy due to ...
XIA Hansong, ZHANG Lisheng, SANG Chunyan
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DYNAMIC TIME WARPING FOR CROPS MAPPING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Dynamic Time Warping (DTW) has been successfully used for crops mapping due to its capability to achieve good classification results when a reduced number of training samples and irregular satellite image time series is available.
M. Belgiu +3 more
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Dynamic Time Warping Algorithm with Adaptive Weighting of Extreme Points [PDF]
Jisuanji gongcheng, 2023 To solve the problem of large computation and high time complexity of the Dynamic Time Warping(DTW) algorithm, a novel DTW algorithm with adaptive weighting of extreme points, called EWDTW, is proposed.The fluctuation of local extreme points reflects the
Weifen TANG, Cuifang GAO
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Efficient Time Series Clustering by Minimizing Dynamic Time Warping Utilization
IEEE Access, 2021 Dynamic Time Warping (DTW) is a widely used distance measurement in time series clustering. DTW distance is invariant to time series phase perturbations but has a quadratic complexity.
Borui Cai +4 more
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Expert enhanced dynamic time warping based anomaly detection [PDF]
Expert systems with applications, 2023 Dynamic time warping (DTW) is a well-known algorithm for time series elastic dissimilarity measure. Its ability to deal with non-linear time distortions makes it helpful in variety of data mining tasks.
Matej Kloska +2 more
semanticscholar +1 more source
IEEE Access, 2022 Online signature verification is the process of using a dynamic signature verification system to confirm the writer’s identity. It can be used as a security system to confirm entrance applications and password substitutes, as well as a forensic ...
Manabu Okawa
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Parameterizing the cost function of dynamic time warping with application to time series classification [PDF]
Data mining and knowledge discovery, 2023 Dynamic time warping ( DTW ) is a popular time series distance measure that aligns the points in two series with one another. These alignments support warping of the time dimension to allow for processes that unfold at differing rates.
Matthieu Herrmann +2 more
semanticscholar +1 more source