Year: 2016
Type: conference-paper
Abstract: Dynamic time warping (DTW) is a widely used curve similarity measure. We present a simple and efficient (1 + ε)- approximation algorithm for DTW between a pair of point sequences, say, P and Q, each of which is sampled from a curve. We prove that the running time of the algorithm is O([EQUATION]n log σ) for a pair of k-packed curves with a total of n points, assuming that the spreads of P and Q are bounded by σ. The spread of a point set is the ratio of the maximum to the minimum pairwise distance, and a curve is called K- packed if the length of its intersection with any disk of radius r is at most Kr. Although an algorithm with similar asymptotic time complexity was presented in [1], our algorithm is considerably simpler and more efficient in practice.
Authors: Rex Ying, Jiangwei Pan, Kyle Fox, Pankaj K. Agarwal
Institutions: Stanford University, Duke University
Language: English
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Awards: G1251018567, G4252697786, G5385673730, AF: Medium: Collaborative Research: Algorithmic Foundations for Trajectory Collection Analysis, G7452299184, BIGDATA: F: DKA: Collaborative Research: Dealing Efficiently with Big Social Network Data, AF:Medium:Collaborative Research: Uncertainty Aware Geometric Computing
OpenAlex ID: W2561479996
