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There are efficient dynamic programming solutions to the computation of the Edit Distance from $S\in[1..\sigma]^n$ to $T\in[1..\sigma]^m$, for many natural subsets of edit operations, typically in time within $O(nm)$ in the worst-case over…

信息检索 · 计算机科学 2018-06-13 Jérémy Barbay , Andrés Olivares

This paper gives new results for synchronization strings, a powerful combinatorial object that allows to efficiently deal with insertions and deletions in various communication settings: $\bullet$ We give a deterministic, linear time…

信息论 · 计算机科学 2017-11-13 Bernhard Haeupler , Amirbehshad Shahrasbi

The problem of approximate string matching is important in many different areas such as computational biology, text processing and pattern recognition. A great effort has been made to design efficient algorithms addressing several variants…

数据结构与算法 · 计算机科学 2008-07-29 Dimitris Papamichail , Georgios Papamichail

Synchronization strings are recently introduced by Haeupler and Shahrasbi [HS17a] in the study of codes for correcting insertion and deletion errors (insdel codes). A synchronization string is an encoding of the indices of the symbols in a…

信息论 · 计算机科学 2017-10-31 Kuan Cheng , Xin Li , Ke Wu

We present a unified framework for accelerating edit-distance computation between two compressible strings using straight-line programs. For two strings of total length $N$ having straight-line program representations of total size $n$, we…

计算复杂性 · 计算机科学 2009-02-17 Danny Hermelin , Gad M. Landau , Shir Landau , Oren Weimann

We consider the following model for sampling pairs of strings: $s_1$ is a uniformly random bitstring of length $n$, and $s_2$ is the bitstring arrived at by applying substitutions, insertions, and deletions to each bit of $s_1$ with some…

数据结构与算法 · 计算机科学 2020-07-08 Arun Ganesh , Aaron Sy

We present an algorithm for approximating the edit distance between two strings of length $n$ in time $n^{1+\varepsilon}$ up to a constant factor, for any $\varepsilon>0$. Our result completes a research direction set forth in the recent…

数据结构与算法 · 计算机科学 2022-07-18 Alexandr Andoni , Negev Shekel Nosatzki

We present a near-linear time algorithm that approximates the edit distance between two strings within a polylogarithmic factor; specifically, for strings of length n and every fixed epsilon>0, it can compute a (log n)^O(1/epsilon)…

数据结构与算法 · 计算机科学 2010-05-24 Alexandr Andoni , Robert Krauthgamer , Krzysztof Onak

Insertion-deletion codes (insdel codes for short) are used for correcting synchronization errors in communications, and in other many interesting fields such as DNA storage, date analysis, race-track memory error correction and language…

信息论 · 计算机科学 2022-06-02 Qinqin Ji , Dabin Zheng , Hao Chen , Xiaoqiang Wang

We study uniquely decodable codes and list decodable codes in the high-noise regime, specifically codes that are uniquely decodable from $\frac{1-\varepsilon}{2}$ fraction of errors and list decodable from $1-\varepsilon$ fraction of…

信息论 · 计算机科学 2024-11-06 Xin Li , Songtao Mao

Given a pair of strings, the problems of computing their Longest Common Subsequence and Edit Distance have been extensively studied for decades. For exact algorithms, LCS and Edit Distance (with character insertions and deletions) are…

数据结构与算法 · 计算机科学 2019-04-12 Aviad Rubinstein , Zhao Song

This work constructs codes that are efficiently decodable from a constant fraction of \emph{worst-case} insertion and deletion errors in three parameter settings: (i) Binary codes with rate approaching 1; (ii) Codes with constant rate for…

信息论 · 计算机科学 2016-05-17 Venkatesan Guruswami , Ray Li

Edit distance is a fundamental measure of distance between strings and has been widely studied in computer science. While the problem of estimating edit distance has been studied extensively, the equally important question of actually…

数据结构与算法 · 计算机科学 2018-05-08 Moses Charikar , Ofir Geri , Michael P. Kim , William Kuszmaul

The edit distance is a way of quantifying how similar two strings are to one another by counting the minimum number of character insertions, deletions, and substitutions required to transform one string into the other. A simple dynamic…

计算复杂性 · 计算机科学 2019-10-03 Elazar Goldenberg , Robert Krauthgamer , Barna Saha

The edit distance is a fundamental measure of sequence similarity, defined as the minimum number of character insertions, deletions, and substitutions needed to transform one string into the other. Given two strings of length at most $n$,…

数据结构与算法 · 计算机科学 2023-07-17 Tomasz Kociumaka , Anish Mukherjee , Barna Saha

The edit distance problem is a classical fundamental problem in computer science in general, and in combinatorial pattern matching in particular. The standard dynamic programming solution for this problem computes the edit-distance between…

数据结构与算法 · 计算机科学 2016-10-05 Danny Hermelin , Gad M. Landau , Shir Landau , Oren Weimann

In this work, we study linear error-correcting codes against adversarial insertion-deletion (indel) errors. While most constructions for the indel model are nonlinear, linear codes offer compact representations, efficient encoding, and…

信息论 · 计算机科学 2025-10-01 Roee Gross , Roni Con , Eitan Yaakobi

We show how to compute the edit distance between two strings of length n up to a factor of 2^{\~O(sqrt(log n))} in n^(1+o(1)) time. This is the first sub-polynomial approximation algorithm for this problem that runs in near-linear time,…

数据结构与算法 · 计算机科学 2011-09-27 Alexandr Andoni , Krzysztof Onak

We study codes that are list-decodable under insertions and deletions. Specifically, we consider the setting where a codeword over some finite alphabet of size $q$ may suffer from $\delta$ fraction of adversarial deletions and $\gamma$…

信息论 · 计算机科学 2018-02-26 Bernhard Haeupler , Amirbehshad Shahrasbi , Madhu Sudan

Several measures exist for string similarity, including notable ones like the edit distance and the indel distance. The former measures the count of insertions, deletions, and substitutions required to transform one string into another,…

数据结构与算法 · 计算机科学 2024-10-15 Sudatta Bhattacharya , Sanjana Dey , Elazar Goldenberg , Michal Koucký
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