The algorithmic task of computing the Hamming distance between a given pattern of length m and each location in a text of length n, both over a general alphabet Sigma, is one of the most fundamental algorithmic tasks in string algorithms. The fastest known runtime for exact computation is tilde O(nsqrt m). We recently introduced a complicated randomized algorithm for obtaining a (1 +/- eps) approximation for each location in the text in O( (n/eps) log(1/eps) log n log m log |Sigma|) total time, breaking a barrier that stood for 22 years. In this paper, we introduce an elementary and simple randomized algorithm that takes O((n/eps) log n log m) time
AbstractGiven a string x and a language L, the Hamming distance of x to L is the minimum Hamming dis...
This paper deals with the approximate string-matching problem with Hamming distance. The approximate...
The text-to-pattern Hamming distances problem asks to compute the Hamming distances between a given ...
Computing the distance between a given pattern of length n and a text of length m is defined as calc...
Given a text T of length n and a pattern P of length m, the approximate pattern matching problem ask...
Given a text T of length n and a pattern P of length m, the approximate pattern matching problem ask...
We consider the problem of computing a (1+epsilon)-approximation of the Hamming distance between a p...
Similarity is a vague concept which can be treated in a quantitative manner only using appropriate ...
Similarity is a vague concept which can be treated in a quantitative manner only using appropriate m...
AbstractGiven a string x and a language L, the Hamming distance of x to L is the minimum Hamming dis...
Given a text T of length n and a pattern P of length m, the string matching problem is a task to fin...
Given a string x and a language L, the Hamming distance of x to L is the minimum Hamming distance of...
Given a string x and a language L, the Hamming distance of x to L is the minimum Hamming distance of...
We consider the problem of computing distance between a pattern of length n and all n-length subword...
The Hamming center problem for a set S of k binary strings, each of length n, is to find a binary st...
AbstractGiven a string x and a language L, the Hamming distance of x to L is the minimum Hamming dis...
This paper deals with the approximate string-matching problem with Hamming distance. The approximate...
The text-to-pattern Hamming distances problem asks to compute the Hamming distances between a given ...
Computing the distance between a given pattern of length n and a text of length m is defined as calc...
Given a text T of length n and a pattern P of length m, the approximate pattern matching problem ask...
Given a text T of length n and a pattern P of length m, the approximate pattern matching problem ask...
We consider the problem of computing a (1+epsilon)-approximation of the Hamming distance between a p...
Similarity is a vague concept which can be treated in a quantitative manner only using appropriate ...
Similarity is a vague concept which can be treated in a quantitative manner only using appropriate m...
AbstractGiven a string x and a language L, the Hamming distance of x to L is the minimum Hamming dis...
Given a text T of length n and a pattern P of length m, the string matching problem is a task to fin...
Given a string x and a language L, the Hamming distance of x to L is the minimum Hamming distance of...
Given a string x and a language L, the Hamming distance of x to L is the minimum Hamming distance of...
We consider the problem of computing distance between a pattern of length n and all n-length subword...
The Hamming center problem for a set S of k binary strings, each of length n, is to find a binary st...
AbstractGiven a string x and a language L, the Hamming distance of x to L is the minimum Hamming dis...
This paper deals with the approximate string-matching problem with Hamming distance. The approximate...
The text-to-pattern Hamming distances problem asks to compute the Hamming distances between a given ...