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- Vigneron, Antoine
- Geometric Algorithms Lab.
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| DC Field | Value | Language |
|---|---|---|
| dc.citation.conferencePlace | US | - |
| dc.citation.endPage | 22 | - |
| dc.citation.startPage | 19 | - |
| dc.citation.title | ACM SIGSPATIAL International Workshop on GeoStreaming | - |
| dc.contributor.author | Ismail, Anas | - |
| dc.contributor.author | Vigneron, Antoine | - |
| dc.date.accessioned | 2023-12-19T21:37:32Z | - |
| dc.date.available | 2023-12-19T21:37:32Z | - |
| dc.date.created | 2021-06-28 | - |
| dc.date.issued | 2015-11-03 | - |
| dc.description.abstract | We present a new algorithm for measuring the similarity between trajectories, and in particular between GPS traces. We call this new similarity measure the Merge Distance (MD). Our approach is robust against subsampling and supersampling. We perform experiments to compare this new similarity measure with the two main approaches that have been used so far: Dynamic Time Warping (DTW) and the Euclidean distance. | - |
| dc.identifier.bibliographicCitation | ACM SIGSPATIAL International Workshop on GeoStreaming, pp.19 - 22 | - |
| dc.identifier.doi | 10.1145/2833165.2833173 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/53161 | - |
| dc.language | 영어 | - |
| dc.publisher | Association for Computing Machinery, Inc | - |
| dc.title | A new trajectory similarity measure for GPS data | - |
| dc.type | Conference Paper | - |
| dc.date.conferenceDate | 2015-11-03 | - |
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