Results 11 to 20 of about 5,348 (187)
Pattern matching under DTW distance
CoRR, 2022 In this work, we consider the problem of pattern matching under the dynamic time warping (DTW) distance motivated by potential applications in the analysis of biological data produced by the third generation sequencing. To measure the DTW distance between two strings, one must "warp" them, that is, double some letters in the strings to obtain two equal-
Gourdel, Garance +3 more
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Improving the efficiency of traditional DTW accelerators [PDF]
Knowledge and Information Systems, 2013 Dynamic Time Warping (DTW) is the most popular approach for evaluating the similarity of time series, but its computation is costly. Therefore, simple functions lower bounding DTW distances have been designed, accelerating searches by quickly pruning sequences that could not possibly be best matches.
Tavenard, Romain, Amsaleg, Laurent
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Uncertainty-DTW for Time Series and Sequences
, 2022 Dynamic Time Warping (DTW) is used for matching pairs of sequences and celebrated in applications such as forecasting the evolution of time series, clustering time series or even matching sequence pairs in few-shot action recognition. The transportation plan of DTW contains a set of paths; each path matches frames between two sequences under a varying ...
Lei Wang 0108, Piotr Koniusz
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Frontiers in Neurology, 2023 IntroductionGait impairment is a common symptom among individuals with cerebral small vessel disease (CSVD). However, performance differences between single-task walking (STW) and dual-task walking (DTW) among individuals with CSVD remain unclear ...
Cuiqiao Xia +6 more
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Learning DTW-Preserving Shapelets [PDF]
, 2017 Dynamic Time Warping (DTW) is one of the best similarity measures for time series, and it has extensively been used in retrieval, classification or mining applications. It is a costly measure, and applying it to numerous and/or very long times series is difficult in practice.
Lods, Arnaud +3 more
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CDPS: Constrained DTW-Preserving Shapelets
, 2023 The analysis of time series for clustering and classificationis becoming ever more popular because of the increasingly ubiquitousnature of IoT, satellite constellations, and handheld and smart-wearabledevices, etc. The presence of phase shift, differences in sample dura-tion, and/or compression and dilation of a signal means that Euclideandistance is ...
El Amouri, Hussein +3 more
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Affine Shape Comparison using Different Distances
JOIV: International Journal on Informatics Visualization, 2020 In this work, we propose to compare affine shape using Hausdorff distance (HD), Dynamic Time Warping (DTW), Frechet (DF), and Earth Mover distance (EMD).
Khalid Aznag +3 more
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Discovery of Meaningful Rules by using DTW based on Cubic Spline Interpolation
Tecnología en Marcha, 2020 The ability to make short or long term predictions is at the heart of much of science. In the last decade, the data science community have been highly interested in foretelling real life events, using data mining techniques to discover meaningful rules ...
Luis Alexander Calvo-Valverde +1 more
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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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Effect of Using Different Levels of Dried Taro (Colocasia esculanta) Waste without or with Dried Yeast (Saccharomyces cerevisiae) on Growth Performance of Growing Lambs. [PDF]
Journal of Animal and Poultry Production, 2017 This study was conducted to investigate the effect of inclusion dried taro waste (DTW) without or with dried yeast (DY) in sheep rations on digestibility, rumen fermentation activity, blood parameters and growth performance of Ossimi lambs.
O. Abdel-Salam +4 more
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