Combining raw and normalized data in multivariate time series classification with dynamic time warping

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-171393 ◽

2018 ◽

Vol 34 (1) ◽

pp. 373-380 ◽

Author(s):

Maciej Łuczak

Keyword(s):

Time Series ◽

Dynamic Time Warping ◽

Multivariate Time Series ◽

Time Series Classification ◽

Time Warping ◽

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Univariate and multivariate time series classification with parametric integral dynamic time warping

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-17523 ◽

2017 ◽

Vol 33 (4) ◽

pp. 2403-2413 ◽

Author(s):

Maciej Łuczak

Keyword(s):

Time Series ◽

Dynamic Time Warping ◽

Multivariate Time Series ◽

Time Series Classification ◽

Time Warping ◽

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Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition

2015 IEEE Symposium Series on Computational Intelligence ◽

10.1109/ssci.2015.199 ◽

2015 ◽

Author(s):

Skyler Seto ◽

Wenyu Zhang ◽

Yichen Zhou

Keyword(s):

Time Series ◽

Activity Recognition ◽

Human Activity ◽

Dynamic Time Warping ◽

Multivariate Time Series ◽

Time Series Classification ◽

Time Warping ◽

Template Selection ◽

Selection For ◽

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Scale-varying dynamic time warping based on hesitant fuzzy sets for multivariate time series classification

Measurement ◽

10.1016/j.measurement.2018.07.094 ◽

2018 ◽

Vol 130 ◽

pp. 290-297 ◽

Author(s):

Shuai Liu ◽

Changliang Liu

Keyword(s):

Time Series ◽

Dynamic Time Warping ◽

Multivariate Time Series ◽

Time Series Classification ◽

Time Warping ◽

Hesitant Fuzzy Sets ◽

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Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2015.2426723 ◽

2016 ◽

Vol 46 (6) ◽

pp. 1363-1374 ◽

Author(s):

Jiangyuan Mei ◽

Meizhu Liu ◽

Yuan-Fang Wang ◽

Huijun Gao

Keyword(s):

Time Series ◽

Mahalanobis Distance ◽

Dynamic Time Warping ◽

Multivariate Time Series ◽

Time Series Classification ◽

Time Warping ◽

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Multivariate time series classification with parametric derivative dynamic time warping

Expert Systems with Applications ◽

10.1016/j.eswa.2014.11.007 ◽

2015 ◽

Vol 42 (5) ◽

pp. 2305-2312 ◽

Author(s):

Tomasz Górecki ◽

Maciej Łuczak

Keyword(s):

Time Series ◽

Dynamic Time Warping ◽

Multivariate Time Series ◽

Time Series Classification ◽

Time Warping ◽

Parametric Derivative ◽

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Multivariate Time Series Similarity Measure Based on Weighted Dynamic Time Warping

2020 2nd International Conference on Image Processing and Machine Vision ◽

10.1145/3421558.3421585 ◽

2020 ◽

Author(s):

Jinhui Zhao ◽

Rusheng Ju ◽

Xu Xie ◽

Yanqing Ye

Keyword(s):

Time Series ◽

Similarity Measure ◽

Dynamic Time Warping ◽

Multivariate Time Series ◽

Time Warping ◽

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A novel non-parametric method for time series classification based on k-Nearest Neighbors and Dynamic Time Warping Barycenter Averaging

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2018.11.009 ◽

2019 ◽

Vol 78 ◽

pp. 173-185 ◽

Author(s):

Tuan Minh Tran ◽

Xuan-May Thi Le ◽

Hien T. Nguyen ◽

Van-Nam Huynh

Keyword(s):

Time Series ◽

Dynamic Time Warping ◽

Parametric Method ◽

Nearest Neighbors ◽

Time Series Classification ◽

Time Warping ◽

K Nearest Neighbors ◽

Dynamic Time ◽

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Locally Slope-based Dynamic Time Warping for Time Series Classification

Proceedings of the 28th ACM International Conference on Information and Knowledge Management - CIKM '19 ◽

10.1145/3357384.3357917 ◽

2019 ◽

Author(s):

Jidong Yuan ◽

Qianhong Lin ◽

Wei Zhang ◽

Zhihai Wang

Keyword(s):

Time Series ◽

Dynamic Time Warping ◽

Time Series Classification ◽

Time Warping ◽

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A Scalable Segmented Dynamic Time Warping for Time Series Classification

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-20915-5_37 ◽

2019 ◽

pp. 407-419 ◽

Author(s):

Ruizhe Ma ◽

Azim Ahmadzadeh ◽

Soukaïna Filali Boubrahimi ◽

Rafal A. Angryk

Keyword(s):

Time Series ◽

Dynamic Time Warping ◽

Time Series Classification ◽

Time Warping ◽

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High-Throughput Dynamic Time Warping Accelerator for Time-Series Classification With Pipelined Mixed-Signal Time-Domain Computing

IEEE Journal of Solid-State Circuits ◽

10.1109/jssc.2020.3021066 ◽

2020 ◽

pp. 1-1

Author(s):

Zhengyu Chen ◽

Jie Gu

Keyword(s):

Time Series ◽

High Throughput ◽

Time Domain ◽

Dynamic Time Warping ◽

Time Series Classification ◽

Time Warping ◽

Mixed Signal ◽

Dynamic Time ◽

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