Template-Based Pattern Matching in Two-Dimensional Arrays
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00312204" target="_blank" >RIV/68407700:21230/17:00312204 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-59108-7_7" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-59108-7_7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-59108-7_7" target="_blank" >10.1007/978-3-319-59108-7_7</a>
Alternative languages
Result language
angličtina
Original language name
Template-Based Pattern Matching in Two-Dimensional Arrays
Original language description
We propose a framework for pattern matching in twodimensional arrays of symbols where the patterns are described by an extended version of the regular matrix grammar and the size of desired matches is prescribed. We then demonstrate how to reformulate the 2D pattern matching as the one-dimensional pattern matching (string pattern matching), and study the efficiency of the string pattern matching algorithm based on pattern complexity with respect to two finite automaton models: (1) the classical finite automaton and (2) the finite automaton equipped with two scanning heads placed in a fixed distance. We also identify several subclasses of the considered templates for which the framework yields a more efficient matching than the naive algorithm.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA15-04960S" target="_blank" >GA15-04960S: SeLeCt - Structures, Learning and Cognition</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Combinatorial Image Analysis
ISBN
978-3-319-59107-0
ISSN
0302-9743
e-ISSN
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Number of pages
14
Pages from-to
79-92
Publisher name
Springer
Place of publication
Cham
Event location
Plovdiv
Event date
Jun 19, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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