Publication | Closed Access
Elastic matching in linear time and constant space
19
Citations
6
References
2009
Year
Unknown Venue
Mathematical ProgrammingElastic MatchingNonlinear ElasticityEngineeringMachine LearningData ScienceElasticity (Physics)Pattern RecognitionInterpolation SpaceTemporal Pattern RecognitionDynamic TimeComputer ScienceCharacter RecognitionFunctional AnalysisModel-based Symbol RecognitionGreedy Approximate SolutionPattern Recognition Application
Dynamic time warping (DTW) is well known as an effective method for model-based symbol recognition. Unfortunately, its complexity is quadratic in the number of points present in the symbols to be matched. In this paper, we propose a greedy approximate solution to Tappert’s dynamic program formulation of DTW, and show empirically that it performs as well as the exact solution while requiring only linear time to compute.
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