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- Dynamic_time_warping abstract "In time series analysis, dynamic time warping (DTW) is an algorithm for measuring similarity between two temporal sequences which may vary in time or speed. For instance, similarities in walking patterns could be detected using DTW, even if one person was walking faster than the other, or if there were accelerations and decelerations during the course of an observation. DTW has been applied to temporal sequences of video, audio, and graphics data — indeed, any data which can be turned into a linear sequence can be analyzed with DTW. A well known application has been automatic speech recognition, to cope with different speaking speeds. Other applications include speaker recognition and online signature recognition. Also it is seen that it can be used in partial shape matching application.In general, DTW is a method that calculates an optimal match between two given sequences (e.g. time series) with certain restrictions. The sequences are "warped" non-linearly in the time dimension to determine a measure of their similarity independent of certain non-linear variations in the time dimension. This sequence alignment method is often used in time series classification. Although DTW measures a distance-like quantity between two given sequences, it does't guarantee the triangle inequality to hold.".
- Dynamic_time_warping wikiPageExternalLink fastdtw.
- Dynamic_time_warping wikiPageExternalLink lbimproved.
- Dynamic_time_warping wikiPageExternalLink dtw.r-forge.r-project.org.
- Dynamic_time_warping wikiPageExternalLink java-ml.sourceforge.net.
- Dynamic_time_warping wikiPageExternalLink 9783540740476-1.pdf?SGWID=0-0-45-452103-p173751818),.
- Dynamic_time_warping wikiPageExternalLink DBA.php.
- Dynamic_time_warping wikiPageExternalLink ndtw.
- Dynamic_time_warping wikiPageExternalLink pydtw.
- Dynamic_time_warping wikiPageExternalLink matchbox.
- Dynamic_time_warping wikiPageExternalLink dtw.js.
- Dynamic_time_warping wikiPageExternalLink mlpy.fbk.eu.
- Dynamic_time_warping wikiPageID "342855".
- Dynamic_time_warping wikiPageRevisionID "599370539".
- Dynamic_time_warping hasPhotoCollection Dynamic_time_warping.
- Dynamic_time_warping subject Category:Articles_with_example_pseudocode.
- Dynamic_time_warping subject Category:Dynamic_programming.
- Dynamic_time_warping subject Category:Machine_learning_algorithms.
- Dynamic_time_warping subject Category:Time_series_analysis.
- Dynamic_time_warping comment "In time series analysis, dynamic time warping (DTW) is an algorithm for measuring similarity between two temporal sequences which may vary in time or speed. For instance, similarities in walking patterns could be detected using DTW, even if one person was walking faster than the other, or if there were accelerations and decelerations during the course of an observation.".
- Dynamic_time_warping label "Dynamic time warping".
- Dynamic_time_warping label "Dynamic time warping".
- Dynamic_time_warping label "Dynamic time warping".
- Dynamic_time_warping label "Dynamic-Time-Warping".
- Dynamic_time_warping label "Déformation temporelle dynamique".
- Dynamic_time_warping sameAs Dynamic-Time-Warping.
- Dynamic_time_warping sameAs Déformation_temporelle_dynamique.
- Dynamic_time_warping sameAs Dynamic_time_warping.
- Dynamic_time_warping sameAs Dynamic_time_warping.
- Dynamic_time_warping sameAs m.01yb7y.
- Dynamic_time_warping sameAs Q1268863.
- Dynamic_time_warping sameAs Q1268863.
- Dynamic_time_warping wasDerivedFrom Dynamic_time_warping?oldid=599370539.
- Dynamic_time_warping isPrimaryTopicOf Dynamic_time_warping.