Results 1 to 10 of about 15,984 (207)
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths [PDF]
International Conference on Learning Representations, 2023 This paper addresses learning end-to-end models for time series data that include a temporal alignment step via dynamic time warping (DTW). Existing approaches to differentiable DTW either differentiate through a fixed warping path or apply a ...
Ming Xu +3 more
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Dynamic Time Warping Based Adversarial Framework for Time-Series Domain [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Despite the rapid progress on research in adversarial robustness of deep neural networks (DNNs), there is little principled work for the time-series domain. Since time-series data arises in diverse applications including mobile health, finance, and smart
Taha Belkhouja, Yan Yan, J. Doppa
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IEEE Access, 2021 Due to the extreme change of human behavior, the load consumption in public holidays fluctuates more significantly compared to general weekdays resulting in the difficulty of hourly holiday load forecasting.
Jeffrey Gunawan, Chin-Ya Huang
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A Robust Scheme for Coherency Detection in Power Systems
Jurnal Nasional Teknik Elektro, 2021 This paper presents an approach for online generator coherency identification based on windowed dynamic time warping (DTW). Generator rotor speed deviations measured by phasor measurement units (PMUs) are used as input data to compute a DTW ...
Gideon Adom-Bamfi +1 more
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Accurate Symmetry Calculation with Normalized Dynamic Time Warping Gait Symmetry Ratio
Uniciencia, 2022 In this paper we propose a new method for symmetry calculation in wearable devices. The problem in this domain is that only discrete features such as stride length, stride duration, or duration of gait phases are used for the symmetry calculation ...
Tobias Steinmetzer +2 more
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IEEE Access, 2019 Online signature verification has been widely applied in biometrics and forensics. Due to the recent demand on high-speed systems in this era of big data, to simultaneously improve its performance and calculation complexity, this study focuses on a ...
Manabu Okawa
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Applied Sciences, 2020 Over the past decades, additive manufacturing has rapidly advanced due to its advantages in enabling diverse material usage and complex design production. Nevertheless, the technology has limitations in terms of quality, as printed products are sometimes
Donghwan Song +4 more
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DTW-MIC Coexpression Networks from Time-Course Data. [PDF]
PLoS ONE, 2016 When modeling coexpression networks from high-throughput time course data, Pearson Correlation Coefficient (PCC) is one of the most effective and popular similarity functions.
Samantha Riccadonna +4 more
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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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Heliyon, 2023 Speech recognition is the foundation of human-computer interaction technology and an important aspect of speech signal processing, with broad application prospects. Therefore, it is very necessary to recognize speech.
Shaohua Jiang, Zheng Chen
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