Results 51 to 60 of about 1,143,126 (364)
Exact Mean Computation in Dynamic Time Warping Spaces
, 2018 Dynamic time warping constitutes a major tool for analyzing time series. In particular, computing a mean series of a given sample of series in dynamic time warping spaces (by minimizing the Fr\'echet function) is a challenging computational problem, so ...
Brill, Markus +5 more
core +1 more source
The use of the dynamic time warping (DTW) method to describe the COVID-19 dynamics in Poland
Oeconomia Copernicana, 2021 Research background: In recent times, the whole world has been severely affected by the COVID-19 pandemic. The influence of the epidemic on the society and the economy has caused a great deal of scientific interest.
J. Landmesser
semanticscholar +1 more source
Pronunciation Scoring With Goodness of Pronunciation and Dynamic Time Warping
IEEE Access, 2023 The current pronunciation scoring based on Goodness of Pronunciation (GOP) uses posterior probabilities of the Acoustic Models. Such algorithms suffer from generalization since they are utilized to determine a score metric for each phoneme rather than on
Kavita Sheoran +8 more
doaj +1 more source
Time series classification with ensembles of elastic distance measures [PDF]
, 2015 Several alternative distance measures for comparing time series have recently been proposed and evaluated on time series classification (TSC) problems.
A Stefan +14 more
core +1 more source
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
semanticscholar +1 more source
Comparing temporal graphs using dynamic time warping [PDF]
Social Network Analysis and Mining, 2019 AbstractWithin many real-world networks, the links between pairs of nodes change over time. Thus, there has been a recent boom in studying temporal graphs. Recognizing patterns in temporal graphs requires a proximity measure to compare different temporal graphs. To this end, we propose to study dynamic time warping on temporal graphs.
Vincent Froese +3 more
openaire +4 more sources
Energies, 2021 The main objective of the study is to assess the similarity between the time series of energy commodity prices and the time series of daily COVID-19 cases. The COVID-19 pandemic affects all aspects of the global economy.
K. Dmytrów +2 more
semanticscholar +1 more source
Pairwise dynamic time warping for event data [PDF]
Computational Statistics & Data Analysis, 2014 We introduce a new version of dynamic time warping for samples of observed event times that are modeled as time-warped intensity processes. Our approach is devel- oped within a framework where for each experimental unit or subject in a sample, one observes a random number of event times or random locations.
Arribas-Gil, Ana, Müller, Hans-Georg
openaire +3 more sources
A Closed-loop Detection Algorithm Based on Dynamic Time Warping
Kongzhi Yu Xinxi Jishu, 2021 In the research of closed-loop detection, algorithms based on single image matching are drawing great research interests. However, in dynamic environment, such algorithms can not meet the requirements of dynamic detection.Considering that a single image ...
ZHU Tian +5 more
doaj
Novel modeling of task versus rest brain state predictability using a dynamic time warping spectrum: comparisons and contrasts with other standard measures of brain dynamics [PDF]
, 2016 Dynamic time warping, or DTW, is a powerful and domain-general sequence alignment method for computing a similarity measure. Such dynamic programming-based techniques like DTW are now the backbone and driver of most bioinformatics methods and discoveries.
Dinov, M +5 more
core +2 more sources