Recognition of Objects by Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Safaryan:2013:IJACSA,
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author = "Nerses Safaryan and Hakob Sarukhanyan",
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title = "Recognition of Objects by Using Genetic Programming",
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journal = "International Journal of Advanced Computer Science and
Applications",
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year = "2013",
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number = "12",
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volume = "4",
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pages = "132--136",
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keywords = "genetic algorithms, genetic programming, GP,
terminals, fitness, selection, crossover, mutation,
ground truth",
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publisher = "The Science and Information (SAI) Organization",
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bibsource = "OAI-PMH server at thesai.org",
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description = "International Journal of Advanced Computer Science and
Applications(IJACSA), 4(12), 2013",
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language = "eng",
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oai = "oai:thesai.org:10.14569/IJACSA.2013.041219",
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URL = "http://thesai.org/Downloads/Volume4No12/Paper_19-Recognition_of_Objects_by_Using_Genetic_Programming.pdf",
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URL = "http://dx.doi.org/10.14569/IJACSA.2013.041219",
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size = "5 pages",
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abstract = "This document is devoted to the task of object
detection and recognition in digital images by using
genetic programming. The goal was to improve and
simplify existing approaches. The detection and
recognition are achieved by means of extracting the
features. A genetic program is used to extract and
classify features of objects. Simple features and
primitive operators are processed in genetic
programming operations. We are trying to detect and to
recognise objects in SAR images. Due to the new
approach described in this article, five and seven
types of objects were recognised with good recognition
results.",
- }
Genetic Programming entries for
Nerses Safaryan
Hakob G Sarukhanyan
Citations