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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Voice Transformation Using Two-Level Dynamic Warping and Neural Networks
Signals, 2021 Voice transformation, for example, from a male speaker to a female speaker, is achieved here using a two-level dynamic warping algorithm in conjunction with an artificial neural network.
Al-Waled Al-Dulaimi +2 more
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Seeded Classification of Satellite Image Time Series with Lower-Bounded Dynamic Time Warping
Remote Sensing, 2022 Satellite Image Time Series (SITS) record the continuous temporal behavior of land cover types and thus provide a new perspective for finer-grained land cover classification compared with the usual spectral and spatial information contained in a static ...
Zheng Zhang +5 more
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Tight lower bounds for dynamic time warping [PDF]
Pattern Recognition, 2021 26 pages, 23 figures, expanded version of a paper accepted for publication in Pattern Recognition.
Webb, Geoffrey I., Petitjean, Francois
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Improved LDTW Algorithm Based on the Alternating Matrix and the Evolutionary Chain Tree
Sensors, 2022 Dynamic time warping under limited warping path length (LDTW) is a state-of-the-art time series similarity evaluation method. However, it suffers from high space-time complexity, which makes some large-scale series evaluations impossible.
Zheng Zou +3 more
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IDENTIFIKASI WAJAH MENGGUNAKAN KLASIFIKASI DYNAMIC TIME WARPING
Sistemasi: Jurnal Sistem Informasi, 2018 Di era modern saat ini, banyak organisasi-organisasi, institusi maupun perusahaan yang membutuhkan adanya identifikasi dan verifikasi akan identitas seseorang.
Febri Ariyanto
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Similarity Measure Based on Incremental Warping Window for Time Series Data Mining
IEEE Access, 2019 A similarity measure is one of the most important tasks in the fields of time series data mining. Its quality often affects the efficiency and effectiveness of the related algorithms that need to measure the similarity between two time series in advance.
Hailin Li, Cheng Wang
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Malaysia PM10 Air Quality Time Series Clustering Based on Dynamic Time Warping
Atmosphere, 2022 Air quality monitoring is important in the management of the environment and pollution. In this study, time series of PM10 from air quality monitoring stations in Malaysia were clustered based on similarity in terms of time series patterns.
Fatin Nur Afiqah Suris +4 more
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Efficient alignment-based average delay time estimation in fluctuating delayed propagation
Array, 2022 We propose an alignment-based average delay time estimation algorithm between two time series in the propagation of time-varying delay. Though the number of the minimum cost alignments may be exponential in the length of the time series, the proposed ...
Atsuyoshi Nakamura, Tatsuya Hayashi
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Simultaneous Localization and Recognition of Dynamic Hand Gestures [PDF]
, 2004 A framework for the simultaneous localization and recognition of dynamic hand gestures is proposed. At the core of this framework is a dynamic space-time warping (DSTW) algorithm, that aligns a pair of query and model gestures in both space and time. For
J. Alon +4 more
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