Attributed relational graph matching using genetic algorithm
In this thesis, Genetic Algorithm (GA) based optimization procedures for structural pattern recognition in a model-based recognition system using attributed relational graph (ARG) matching technique are investigated.
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2008
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Online Access: | http://hdl.handle.net/10356/4501 |
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sg-ntu-dr.10356-45012023-07-04T15:45:48Z Attributed relational graph matching using genetic algorithm Khoo, Koh Giok. Suganthan, Ponnuthurai Nagaratnam School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing In this thesis, Genetic Algorithm (GA) based optimization procedures for structural pattern recognition in a model-based recognition system using attributed relational graph (ARG) matching technique are investigated. Master of Engineering 2008-09-17T09:52:44Z 2008-09-17T09:52:44Z 2002 2002 Thesis http://hdl.handle.net/10356/4501 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Khoo, Koh Giok. Attributed relational graph matching using genetic algorithm |
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In this thesis, Genetic Algorithm (GA) based optimization procedures for structural pattern recognition in a model-based recognition system using attributed relational graph (ARG) matching technique are investigated. |
author2 |
Suganthan, Ponnuthurai Nagaratnam |
author_facet |
Suganthan, Ponnuthurai Nagaratnam Khoo, Koh Giok. |
format |
Theses and Dissertations |
author |
Khoo, Koh Giok. |
author_sort |
Khoo, Koh Giok. |
title |
Attributed relational graph matching using genetic algorithm |
title_short |
Attributed relational graph matching using genetic algorithm |
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Attributed relational graph matching using genetic algorithm |
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Attributed relational graph matching using genetic algorithm |
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Attributed relational graph matching using genetic algorithm |
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attributed relational graph matching using genetic algorithm |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/4501 |
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1772828321240842240 |