Fundamentals of Computing Continuous Dynamic Time Warping in 2D under Different Norms
Kevin Buchin, Maike Buchin, Jan Erik Swiadek, Sampson Wong

TL;DR
This paper investigates the computational properties of Continuous Dynamic Time Warping (CDTW) in 2D under various norms, revealing limitations under the Euclidean norm and proposing algorithms for approximations.
Contribution
It proves that exact CDTW computation under the Euclidean norm is impossible with algebraic operations and provides an exact algorithm for norms approximating the 2-norm.
Findings
Exact CDTW cannot be computed under Euclidean 2-norm with algebraic operations.
An exact algorithm is provided for CDTW under norms approximating the 2-norm.
Results generalize to other norms and related similarity measures.
Abstract
Continuous Dynamic Time Warping (CDTW) measures the similarity of polygonal curves robustly to outliers and to sampling rates, but the design and analysis of CDTW algorithms face multiple challenges. We show that CDTW cannot be computed exactly under the Euclidean 2-norm using only algebraic operations, and we give an exact algorithm for CDTW under norms approximating the 2-norm. The latter result relies on technical fundamentals that we establish, and which generalise to any norm and to related measures such as the partial Fr\'echet similarity.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
