Parameter-Free Ordered Partial Match Alignment with Hidden State Time Warping

Parameter-Free Ordered Partial Match Alignment with Hidden State Time Warping

This paper investigates an ordered partial matching alignment problem, in which the goal is to align two sequences in the presence of potentially non-matching regions. We propose a novel parameter-free dynamic programming alignment method called hidden state time warping that allows an alignment pat...

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Bibliographic Details
Main Authors: Claire Chang, Thaxter Shaw, Arya Goutam, Christina Lau, Mengyi Shan, Timothy J. Tsai
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
hidden state time warping
alignment
dynamic programming
partial matching
DTW
Online Access:https://www.mdpi.com/2076-3417/12/8/3783

Internet

https://www.mdpi.com/2076-3417/12/8/3783

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