Results 11 to 20 of about 12,089 (236)

Uncertainty-DTW for Time Series and Sequences

, 2022
Dynamic Time Warping (DTW) is used for matching pairs of sequences and celebrated in applications such as forecasting the evolution of time series, clustering time series or even matching sequence pairs in few-shot action recognition. The transportation plan of DTW contains a set of paths; each path matches frames between two sequences under a varying ...
Lei Wang 0108, Piotr Koniusz
core   +5 more sources

CDPS: Constrained DTW-Preserving Shapelets

, 2023
The analysis of time series for clustering and classificationis becoming ever more popular because of the increasingly ubiquitousnature of IoT, satellite constellations, and handheld and smart-wearabledevices, etc. The presence of phase shift, differences in sample dura-tion, and/or compression and dilation of a signal means that Euclideandistance is ...
El Amouri, Hussein, Lampert, Thomas, Gançarski, Pierre, Mallet, Clément   +3 more
openaire   +3 more sources

Learning DTW-Preserving Shapelets [PDF]

, 2017
Dynamic Time Warping (DTW) is one of the best similarity measures for time series, and it has extensively been used in retrieval, classification or mining applications. It is a costly measure, and applying it to numerous and/or very long times series is difficult in practice.
Lods, Arnaud, Malinowski, Simon, Tavenard, Romain, Amsaleg, Laurent   +3 more
openaire   +4 more sources

C-DTW for Human Action Recognition Based on Nanogenerator

Sensors, 2023
Sensor-based human action recognition (HAR) is considered to have broad practical prospects. It applies to wearable devices to collect plantar pressure or acceleration information at human joints during human actions, thereby identifying human motion ...
Haifeng Xu, Renhai Feng, Weikang Zhang
doaj   +2 more sources

Character Recognition Based on DTW-Radon [PDF]

2011 International Conference on Document Analysis and Recognition, 2011
The paper presents a method for isolated off-line character recognition using radon features. The key characteristic of the method is to use DTW algorithm to match corresponding pairs of radon histograms at every projecting angle. Thanks to DTW, it avoids compressing feature matrix into a single vector which may miss information.
K.C. Santosh, K.C., Santosh
openaire   +3 more sources

Time Series Retrieval Using DTW-Preserving Shapelets [PDF]

, 2018
Dynamic Time Warping (DTW) is a very popular similarity measure used for time series classification, retrieval or clustering. DTW is, however, a costly measure, and its application on numerous and/or very long time series is difficult in practice. This paper proposes a new approach for time series retrieval: time series are embedded into another space ...
Carlini Sperandio, Ricardo, Malinowski, Simon, Amsaleg, Laurent, Tavenard, Romain   +3 more
openaire   +4 more sources

Trajectory Similarity Algorithm Based on DTW and Trajectory Point Compression

Kongzhi Yu Xinxi Jishu
The rapid development of technologies including wireless communication, video surveillance, and satellite positioning has led to the generation of substantial amounts of trajectory data from the movement of mobile device holders.
GAO Wei, QIAN Chengyang, ZHANG Qi, XIE Hongquan   +3 more
doaj   +2 more sources

Fast Constrained Dynamic Time Warping for Similarity Measure of Time Series Data

IEEE Access, 2020
In this paper, we propose an efficient algorithm for reducing the computational complexity of dynamic time warping (DTW) for obtaining similarity measures between time series.
Wonyoung Choi, Jaechan Cho, Seongjoo Lee, Yunho Jung   +3 more
doaj   +1 more source

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, Y. Zhou, M. Marshall, A. Stein   +3 more
doaj   +1 more source

Progressive Dynamic Time Warping for Noninvasive Blood Pressure Estimation

Current Directions in Biomedical Engineering, 2020
Arterial blood pressure is one of the most important cardiovascular parameters. Yet, current-generation devices for continuous, noninvasive acquisition are few, expensive and bulky.
Pielmus Alexandru-Gabriel, Klum Michael, Tigges Timo, Orglmeister Reinhold, Urban Mike   +4 more
doaj   +1 more source