AbstractWe introduce the following optimization version of the classical pattern matching problem (referred to as the maximum pattern matching problem). Given a two-dimensional rectangular text and a two-dimensional rectangular pattern, find the maximum number of non-overlapping occurrences of the pattern in the text. Unlike the classical two-dimensional pattern matching problem, the maximum two-dimensional pattern matching problem is NP-complete. We devise polynomial time approximation algorithms and approximation schemes for this problem. We also briefly discuss how the approximation algorithms can be extended to include a number of other variants of the problem
We give an algorithm which finds all occurrences of an m1 x m2 pattern array embedded as subarrays...
AbstractThe most efficient currently known algorithms for two-dimensional pattern matching with rota...
This paper presents new efficient variants of the Baker and Bird and the Baeza-Yates and Regnier exa...
AbstractWe introduce the following optimization version of the classical pattern matching problem (r...
AbstractWe describe the first worst-case efficient algorithm for simultaneously matching multiple re...
AbstractEfficient algorithms exist for the approximate two dimensional matching problem for rectangl...
Algorithms with optimal expected running time are presented for searching the occurrences of a two-d...
Pattern matching is the area of computer science which deals with security and analysis of data. Thi...
AbstractWe present new and faster algorithms to search for a two-dimensional pattern in a two-dimens...
AbstractThe problem of pattern matching with rotation is that of finding all occurrences of a two-di...
Abstract. We consider the approximability of three recently introduced pattern matching problems whi...
AbstractWe present a new and more rigorous analysis of the two algorithms for two-dimensional approx...
We present new and faster algorithms to search for a two-dimensional pattern in a two-dimensional te...
AbstractThe problem of two-dimensional pattern matching invariant under a given class of admissible ...
The rapidly growing need for analysis of digitized images in multimedia systems has lead to a variet...
We give an algorithm which finds all occurrences of an m1 x m2 pattern array embedded as subarrays...
AbstractThe most efficient currently known algorithms for two-dimensional pattern matching with rota...
This paper presents new efficient variants of the Baker and Bird and the Baeza-Yates and Regnier exa...
AbstractWe introduce the following optimization version of the classical pattern matching problem (r...
AbstractWe describe the first worst-case efficient algorithm for simultaneously matching multiple re...
AbstractEfficient algorithms exist for the approximate two dimensional matching problem for rectangl...
Algorithms with optimal expected running time are presented for searching the occurrences of a two-d...
Pattern matching is the area of computer science which deals with security and analysis of data. Thi...
AbstractWe present new and faster algorithms to search for a two-dimensional pattern in a two-dimens...
AbstractThe problem of pattern matching with rotation is that of finding all occurrences of a two-di...
Abstract. We consider the approximability of three recently introduced pattern matching problems whi...
AbstractWe present a new and more rigorous analysis of the two algorithms for two-dimensional approx...
We present new and faster algorithms to search for a two-dimensional pattern in a two-dimensional te...
AbstractThe problem of two-dimensional pattern matching invariant under a given class of admissible ...
The rapidly growing need for analysis of digitized images in multimedia systems has lead to a variet...
We give an algorithm which finds all occurrences of an m1 x m2 pattern array embedded as subarrays...
AbstractThe most efficient currently known algorithms for two-dimensional pattern matching with rota...
This paper presents new efficient variants of the Baker and Bird and the Baeza-Yates and Regnier exa...