Dynamic Time Warping: Difference between revisions

From Algorithm Wiki
Jump to navigation Jump to search
No edit summary
No edit summary
 
Line 6: Line 6:
== Parameters ==  
== Parameters ==  


n: length of first curve
$n$: length of first curve


m: length of second curve
$m$: length of second curve


== Table of Algorithms ==  
== Table of Algorithms ==  

Latest revision as of 08:27, 10 April 2023

Description

Fix a metric space $(M, d)$. A sequence of points in $M$ is called a curve. Consider two curves $x, y$ of length $n, m (n \geq m)$. We may traverse $x$ and $y$ by starting in their first entries, in any time step advancing to the next entry in $x$ or $y$ or both, and ending in their last entries. The cost of such a traversal is the sum over all points in time of the distance between the current entries. The dynamic time warping distance of $x$ and $y$ is the minimal cost of any traversal.

Parameters

$n$: length of first curve

$m$: length of second curve

Table of Algorithms

Currently no algorithms in our database for the given problem.

Reductions FROM Problem

Problem Implication Year Citation Reduction
UOV If: to-time: $O((nm)^{({1}-\epsilon)})$, where $|x| = O(nd)$ and $|y| = O(md)$
Then: from-time: $O((nm)^{({1}-\epsilon/{2})})$
2015 https://arxiv.org/pdf/1502.01063.pdf link