The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Toward accurate dynamic time warping in linear time and space
Abstract
Dynamic Time Warping (DTW) has a quadratic time and space complexity that limits its use to small time series. In this paper we introduce FastDTW, an approximation of DTW that has a linear time and space complexity. FastDTW uses a multilevel approach
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Cites
Dynamic Programming Algorithm Optimization for Spoken Word Recognition
Sakoe, H., & Chiba, S. (1978) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1978.1163055 · Cited by 6,727
Cited by
Time-series clustering – A decade review
Aghabozorgi, S., Seyed Shirkhorshidi, A., & Ying Wah, T. (2015) · Information Systems · doi:10.1016/j.is.2015.04.007 · Cited by 1,826
Computing and Visualizing Dynamic Time Warping Alignments in R: The dtw Package
Giorgino, T. (2009) · Journal of Statistical Software · doi:10.18637/jss.v031.i07 · Cited by 1,254
Dude, where's my card?: RFID positioning that works with multipath and non-line of sight
Wang, J., & Katabi, D. (2013) · Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM · doi:10.1145/2486001.2486029 · Cited by 482
Mobile sensor data anonymization
Malekzadeh, M., Clegg, R. G., Cavallaro, A., & Haddadi, H. (2019) · Proceedings of the International Conference on Internet of Things Design and Implementation · doi:10.1145/3302505.3310068 · Cited by 298
Dynamic movement primitives in robotics: A tutorial survey
Saveriano, M., Abu-Dakka, F. J., Kramberger, A., & Peternel, L. (2023) · The International Journal of Robotics Research · doi:10.1177/02783649231201196 · Cited by 267
Metadata
- Authors
- Salvador, S., & Chan, P.
- Venue
- Intelligent Data Analysis
- Publisher
- SAGE Publications
- Published
- 2007-10-10
- Volume
- 11
- Issue
- 5
- Pages
- 561-580
- ISSN
- 1088-467X (ISSN-L)
- 1571-4128
- OpenAlex
- W2144994235
- Cited by
- 1,705
- References
- 1
- FWCI
- 26.07
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
