Invariant pattern recognition with higher-order neural networks

Translation, rotation (in plane) and scale invariant pattern recognition is a high-order recognition problem encountered frequently in real-world applications. But neither traditional image process/pattern recognition algorithms nor artificial neural networks have yet provided satisfactory solution...

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Bibliographic Details
Main Author:	He, Zhengquan.
Other Authors:	Mohammed Yakoob Siyal
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/4359
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4359
record_format	dspace
spelling	sg-ntu-dr.10356-43592023-07-04T15:12:17Z Invariant pattern recognition with higher-order neural networks He, Zhengquan. Mohammed Yakoob Siyal School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Translation, rotation (in plane) and scale invariant pattern recognition is a high-order recognition problem encountered frequently in real-world applications. But neither traditional image process/pattern recognition algorithms nor artificial neural networks have yet provided satisfactory solutions for this problem after years of study. Recent research has shown that a higher order neural networks (HONNs) of order three with built-in invariances can effectively achieve invariant pattern recognition. Master of Engineering 2008-09-17T09:49:59Z 2008-09-17T09:49:59Z 1999 1999 Thesis http://hdl.handle.net/10356/4359 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems He, Zhengquan. Invariant pattern recognition with higher-order neural networks
description	Translation, rotation (in plane) and scale invariant pattern recognition is a high-order recognition problem encountered frequently in real-world applications. But neither traditional image process/pattern recognition algorithms nor artificial neural networks have yet provided satisfactory solutions for this problem after years of study. Recent research has shown that a higher order neural networks (HONNs) of order three with built-in invariances can effectively achieve invariant pattern recognition.
author2	Mohammed Yakoob Siyal
author_facet	Mohammed Yakoob Siyal He, Zhengquan.
format	Theses and Dissertations
author	He, Zhengquan.
author_sort	He, Zhengquan.
title	Invariant pattern recognition with higher-order neural networks
title_short	Invariant pattern recognition with higher-order neural networks
title_full	Invariant pattern recognition with higher-order neural networks
title_fullStr	Invariant pattern recognition with higher-order neural networks
title_full_unstemmed	Invariant pattern recognition with higher-order neural networks
title_sort	invariant pattern recognition with higher-order neural networks
publishDate	2008
url	http://hdl.handle.net/10356/4359
_version_	1772825773155024896

Invariant pattern recognition with higher-order neural networks

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