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FTW: Fast Similarity Search under the Time Warping Distance

Summary: FTW: an exact DTW similarity-search method that guarantees no false dismissals by introducing a novel, highly effective pruning scheme exploiting time-warp invariance. Empirically prunes many candidates and achieves up to 222× speedup versus prior SOTA. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1365
Venue
PODS
Year
2005
Pagerank
7.5816553e-05
Overall Rank
3,267 | 77.59%
DOI
10.1145/1065167.1065210

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{sakurai_pods05,
        address = {New York, NY, USA},
        series = {{PODS} '05},
        title = {{FTW: Fast Similarity Search under the Time Warping Distance}},
        url = {https://dl.acm.org/doi/10.1145/1065167.1065210},
        doi = {10.1145/1065167.1065210},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Sakurai, Yasushi and Yoshikawa, Masatoshi and Faloutsos, Christos},
        year = {2005}
}

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