Funder
Federal Ministry of Education and Research Berlin Office
Bundesministerium für Bildung und Forschung
Reference44 articles.
1. Efficient classification of long time series by 3-d dynamic time warping;Sharabiani;IEEE Trans. Syst. Man Cybern.: Syst.,2017
2. CPM: A general feature dependency pattern mining framework for contrast multivariate time series;Li;Pattern Recognit.,2021
3. Autoregressive forests for multivariate time series modeling;Tuncel;Pattern Recognit.,2018
4. Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification;Orsenigo;Pattern Recognit.,2010
5. S. Seto, W. Zhang, Y. Zhou, Multivariate time series classification using dynamic time warping template selection for human activity recognition, in: IEEE Symposium Series on Computational Intelligence, 2015, pp. 1399–1406.
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