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ウィキペディア英語版
出典：Wikipedia
Dynamic time warping
出典:『Wikipedia』 (2011/07/15 11:35 UTC 版)
英語による解説
ウィキペディア英語版からの引用
- 引用
Dynamic time warping (DTW) is an algorithm for measuring similarity between two sequences which may vary in time or speed. For instance, similarities in walking patterns would be detected, even if in one video the person was walking slowly and if in another he or she were walking more quickly, or even if there were accelerations and decelerations during the course of one observation. DTW has been applied to video, audio, and graphics — indeed, any data which can be turned into a linear representation can be analyzed with DTW. A well known application has been automatic speech recognition, to cope with different speaking speeds.
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- Text is available under Creative Commons Attribution-ShareAlike (CC-BY-SA) and/or GNU Free Documentation License (GFDL).
Weblio英和・和英辞典に掲載されている「Wikipedia英語版」の記事は、WikipediaのDynamic time warping (改訂履歴)の記事を複製、再配布したものにあたり、Creative Commons Attribution-ShareAlike (CC-BY-SA)もしくはGNU Free Documentation Licenseというライセンスの下で提供されています。
