Results 21 to 30 of about 1,143,126 (364)
Accelerated Dynamic Time Warping on GPU for Selective Nanopore Sequencing
bioRxiv, 2023 The design and supply of RT-PCR primers for accurate virus testing is a complex process. The MinION is a revolutionary portable nanopore DNA sequencer that may be used to sequence the whole genome of a target virus in a biological sample.
Harisankar Sadasivan +4 more
semanticscholar +1 more source
Agglomerative Hierarchical Clustering with Dynamic Time Warping for Household Load Curve Clustering [PDF]
Canadian Conference on Electrical and Computer Engineering, 2022 Energy companies often implement various demand response (DR) programs to better match electricity demand and supply by offering the consumers incentives to reduce their demand during critical periods.
Fadi AlMahamid, Katarina Grolinger
semanticscholar +1 more source
Stochastic environmental research and risk assessment (Print), 2023 Partitioning algorithms, and in particular K-means clustering, are widely used in time series analysis. K-means clustering is intrinsically related to the use of the Euclidean distance as a measure of dissimilarity.
J. F. Vera, José M. Angulo
semanticscholar +1 more source
Learning Discriminative Prototypes with Dynamic Time Warping [PDF]
Computer Vision and Pattern Recognition, 2021 Dynamic Time Warping (DTW) is widely used for temporal data processing. However, existing methods can neither learn the discriminative prototypes of different classes nor exploit such prototypes for further analysis.
Xiaobin Chang, Frederick Tung, Greg Mori
semanticscholar +1 more source
Computing Continuous Dynamic Time Warping of Time Series in Polynomial Time [PDF]
International Symposium on Computational Geometry, 2022 Dynamic Time Warping is arguably the most popular similarity measure for time series, where we define a time series to be a one-dimensional polygonal curve.
K. Buchin, André Nusser, Sampson Wong
semanticscholar +1 more source
shapeDTW: Shape Dynamic Time Warping [PDF]
Pattern Recognition, 2018 Dynamic Time Warping (DTW) is an algorithm to align temporal sequences with possible local non-linear distortions, and has been widely applied to audio, video and graphics data alignments. DTW is essentially a point-to-point matching method under some boundary and temporal consistency constraints. Although DTW obtains a global optimal solution, it does
Zhao, Jiaping, Itti, Laurent
openaire +2 more sources
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
doaj +1 more source
Dynamic Time Warping under limited warping path length [PDF]
Information Sciences, 2017 Dynamic Time Warping (DTW) is probably the most popular distance measure for time series data, because it captures flexible similarities under time distortions. However, DTW has long been suffering from the pathological alignment problem, and most existing solutions, which essentially impose rigid constraints on the warping path, are likely to miss the
Zhang, Zheng +5 more
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source