Approximated pattern matching with the L1, L2 and L∞ metrics

8Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Given an alphabet ∑ = {1,2,...,|∑|} text string T ∈ ∑n and a pattern string P ∈ ∑ m , for each i = 1,2,...,n - m + 1 define L d (i) as the d-norm distance when the pattern is aligned below the text and starts at position i of the text. The problem of pattern matching with L p distance is to compute L p (i) for every i = 1,2,...,n - m + 1. We discuss the problem for d = 1, ∞. First, in the case of L 1 matching (pattern matching with an L 1 distance) we present an algorithm that approximates the L 1 matching up to a factor of 1 + ε, which has an run time. Second, we provide an algorithm that approximates the L ∞ matching up to a factor of 1 + ε with a run time of . We also generalize the problem of String Matching with mismatches to have weighted mismatches and present an O(nlog4 m) algorithm that approximates the results of this problem up to a factor of O(logm) in the case that the weight function is a metric. © 2009 Springer Berlin Heidelberg.

Cite

CITATION STYLE

APA

Lipsky, O., & Porat, E. (2008). Approximated pattern matching with the L1, L2 and L∞ metrics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5280 LNCS, pp. 212–223). Springer Verlag. https://doi.org/10.1007/978-3-540-89097-3_21

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free