Standard

Efficient Simulation for Prolog Implementation of Image Recognition Problem. / Kosovskaya, T.; Vlasova, M.

в: International Journal on Information Theory and Applications, Том 20, № 2, 2013, стр. 156 – 161.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Kosovskaya, T & Vlasova, M 2013, 'Efficient Simulation for Prolog Implementation of Image Recognition Problem', International Journal on Information Theory and Applications, Том. 20, № 2, стр. 156 – 161. <http://www.foibg.com/ijita/vol20/ijita20-02-p07.pdf>

APA

Kosovskaya, T., & Vlasova, M. (2013). Efficient Simulation for Prolog Implementation of Image Recognition Problem. International Journal on Information Theory and Applications, 20(2), 156 – 161. http://www.foibg.com/ijita/vol20/ijita20-02-p07.pdf

Vancouver

Kosovskaya T, Vlasova M. Efficient Simulation for Prolog Implementation of Image Recognition Problem. International Journal on Information Theory and Applications. 2013;20(2):156 – 161.

Author

Kosovskaya, T. ; Vlasova, M. / Efficient Simulation for Prolog Implementation of Image Recognition Problem. в: International Journal on Information Theory and Applications. 2013 ; Том 20, № 2. стр. 156 – 161.

BibTeX

@article{301f785e1dbc4dd1bdd6c3b54403f304,
title = "Efficient Simulation for Prolog Implementation of Image Recognition Problem",
abstract = "Pattern recognition problem using properties of parts of a recognizable objects and relations between them is NP-hard. That is why quick recognition of an object with many elements is a difficult problem. To overcome such a difficulty the use of upper bound of steps for an algorithm solving such a problem based on logic-objective approach is suggested. The possibility of the use of Prolog language family for image recognition is investigated. An example of such a problem for which the use of these upper bounds of complexity permits to decrease the time of its solution is presented.",
keywords = "pattern recognition, predicate calculus, complexity of algorithms, Prolog language.",
author = "T. Kosovskaya and M. Vlasova",
year = "2013",
language = "English",
volume = "20",
pages = "156 – 161",
journal = "International Journal on Information Theory and Applications",
issn = "1310-0513",
number = "2",

}

RIS

TY - JOUR

T1 - Efficient Simulation for Prolog Implementation of Image Recognition Problem

AU - Kosovskaya, T.

AU - Vlasova, M.

PY - 2013

Y1 - 2013

N2 - Pattern recognition problem using properties of parts of a recognizable objects and relations between them is NP-hard. That is why quick recognition of an object with many elements is a difficult problem. To overcome such a difficulty the use of upper bound of steps for an algorithm solving such a problem based on logic-objective approach is suggested. The possibility of the use of Prolog language family for image recognition is investigated. An example of such a problem for which the use of these upper bounds of complexity permits to decrease the time of its solution is presented.

AB - Pattern recognition problem using properties of parts of a recognizable objects and relations between them is NP-hard. That is why quick recognition of an object with many elements is a difficult problem. To overcome such a difficulty the use of upper bound of steps for an algorithm solving such a problem based on logic-objective approach is suggested. The possibility of the use of Prolog language family for image recognition is investigated. An example of such a problem for which the use of these upper bounds of complexity permits to decrease the time of its solution is presented.

KW - pattern recognition

KW - predicate calculus

KW - complexity of algorithms

KW - Prolog language.

M3 - Article

VL - 20

SP - 156

EP - 161

JO - International Journal on Information Theory and Applications

JF - International Journal on Information Theory and Applications

SN - 1310-0513

IS - 2

ER -

ID: 5639518