Face recognition by random method

Face recognition by random method

From the theoretical analysis, we present the Null Random Search Direction algorithm and the most suitable situation for Null Random Search Direction. Our method is simpler than all other Null space approaches. It save the computational cost and maintains the performance simultaneously. The novel ap...

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Main Author: Myo Khine.
Other Authors: Sung, Eric
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Online Access:http://hdl.handle.net/10356/4918
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-4918
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spelling sg-ntu-dr.10356-49182023-07-04T15:53:07Z Face recognition by random method Myo Khine. Sung, Eric School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems From the theoretical analysis, we present the Null Random Search Direction algorithm and the most suitable situation for Null Random Search Direction. Our method is simpler than all other Null space approaches. It save the computational cost and maintains the performance simultaneously. The novel approach eigenvalue analysis and is also applicable to the large sample size problem. Experiments are carried out on different face data sets to demonstrate the effectiveness of the proposed methods. Master of Science (Computer Control and Automation) 2008-09-17T10:01:26Z 2008-09-17T10:01:26Z 2004 2004 Thesis http://hdl.handle.net/10356/4918 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::Electrical and electronic engineering::Electronic systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Myo Khine.
Face recognition by random method
description From the theoretical analysis, we present the Null Random Search Direction algorithm and the most suitable situation for Null Random Search Direction. Our method is simpler than all other Null space approaches. It save the computational cost and maintains the performance simultaneously. The novel approach eigenvalue analysis and is also applicable to the large sample size problem. Experiments are carried out on different face data sets to demonstrate the effectiveness of the proposed methods.
author2 Sung, Eric
author_facet Sung, Eric
Myo Khine.
format Theses and Dissertations
author Myo Khine.
author_sort Myo Khine.
title Face recognition by random method
title_short Face recognition by random method
title_full Face recognition by random method
title_fullStr Face recognition by random method
title_full_unstemmed Face recognition by random method
title_sort face recognition by random method
publishDate 2008
url http://hdl.handle.net/10356/4918
_version_ 1772826244985913344

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