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
doaj +3 more sources
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
semanticscholar +4 more sources
Similarity measure of time series based on Angle-distance Penalized Metric Dynamic Time Warping [PDF]
Scientific ReportsMeasuring the similarity of time series is a fundamental task in numerous information processing applications. Dynamic Time Warping (DTW) is a widely used method for time series similarity measurement, yet its reliance solely on linear Euclidean distance
Xiaofei Zeng +4 more
doaj +2 more sources
ACM-SIAM Symposium on Discrete AlgorithmsThe Dynamic Time Warping (DTW) distance is a popular similarity measure for polygonal curves (i.e., sequences of points). It finds many theoretical and practical applications, especially for temporal data, and is known to be a robust, outlier-insensitive alternative to the Fréchet distance. For static curves of at most n points, the DTW distance can be
K. Bringmann +5 more
semanticscholar +7 more sources
Dynamic Time Warping Identifies Functionally Distinct fMRI Resting State Cortical Networks Specific to VTA and SNc: A Proof of Concept. [PDF]
Cereb Cortex, 2022 Philips RT +4 more
europepmc +3 more sources
Assessing Predictive Ability of Dynamic Time Warping Functional Connectivity for ASD Classification. [PDF]
Int J Biomed Imaging, 2023 Liu C +4 more
europepmc +3 more sources
Improved Algorithm of Dynamic Time Warping Based on LDTW [PDF]
Jisuanji gongcheng, 2021 Dynamic Time Warping Under Limited Warping Path Length(LDTW) is an algorithm constructed based on the Dynamic Time Warping(DTW) algorithm,and solves the problem of matching points without similarity in DTW,but it tends to be computationally heavy due to ...
XIA Hansong, ZHANG Lisheng, SANG Chunyan
doaj +1 more source
Dynamic Time-Warping Correction for Shifts in Ultrahigh Resolving Power Ion Mobility Spectrometry and Structures for Lossless Ion Manipulations. [PDF]
J Am Soc Mass Spectrom, 2021 Hollerbach AL +9 more
europepmc +3 more sources
Parameterizing the cost function of dynamic time warping with application to time series classification [PDF]
Data mining and knowledge discovery, 2023 Dynamic time warping ( DTW ) is a popular time series distance measure that aligns the points in two series with one another. These alignments support warping of the time dimension to allow for processes that unfold at differing rates.
Matthieu Herrmann +2 more
semanticscholar +1 more source
Similarity join over multiple time series under Dynamic Time Warping
CTU Journal of Innovation and Sustainable Development, 2023 Similarity join over multiple time series is an interesting task of data mining. This task aims at identifying couples of similar subsequences from multiple time series and the two subsequences might have any length and be at any position in the time ...
Bui Cong Giao
doaj +3 more sources