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Approximation algorithms for maximum two-dimensional pattern matching

Authors: Arikati, S.R.; Dessmark, A.; Lingas, A.; Marathe, M.;

Approximation algorithms for maximum two-dimensional pattern matching

Abstract

We 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.

Country
United States
Keywords

Design, Image Processing, Pattern Recognition, Two-Dimensional Calculations, 510, Theoretical Computer Science, Symmetry, Digital Systems, Pattern matching, Information Science, approximation algorithm, Computers, NP-lartness, 99 Mathematics, Approximation algorithm, Management, Miscellaneous, 004, pattern matching, Parallel algorithms in computer science, Law, Searching and sorting, Algorithms, Computer Science(all)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Top 10%
Average
hybrid