Results 11 to 20 of about 5,394 (195)
Fast Constrained Dynamic Time Warping for Similarity Measure of Time Series Data
IEEE Access, 2020 In this paper, we propose an efficient algorithm for reducing the computational complexity of dynamic time warping (DTW) for obtaining similarity measures between time series.
Wonyoung Choi +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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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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Progressive Dynamic Time Warping for Noninvasive Blood Pressure Estimation
Current Directions in Biomedical Engineering, 2020 Arterial blood pressure is one of the most important cardiovascular parameters. Yet, current-generation devices for continuous, noninvasive acquisition are few, expensive and bulky.
Pielmus Alexandru-Gabriel +4 more
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ADHD Prediction via Time Series Ensemble fed Driving Simulator Data
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 In this paper, we identify the on-road scenarios within a simulated driving environment where a group of clinical trial participants (n= 30) with and without Attention Deficit Hyper-activity Disorder (ADHD) drive perceivably different fromone another. We
David Grethlein +2 more
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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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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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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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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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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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