Mixture analysis and kernel density estimation with applications to image segmentation and retrieval

This thesis presents a new mixture density estimation method that is capable of estimating the number of components by using group membership functions.

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Bibliographic Details
Main Author:	Yang, Xiangyu
Other Authors:	Liu, Jun
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Online Access:	http://hdl.handle.net/10356/2540
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-2540
record_format	dspace
spelling	sg-ntu-dr.10356-25402023-03-04T00:33:32Z Mixture analysis and kernel density estimation with applications to image segmentation and retrieval Yang, Xiangyu Liu, Jun School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition This thesis presents a new mixture density estimation method that is capable of estimating the number of components by using group membership functions. Doctor of Philosophy (EEE) 2008-09-17T09:05:01Z 2008-09-17T09:05:01Z 2004 2004 Thesis http://hdl.handle.net/10356/2540 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
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Yang, Xiangyu Mixture analysis and kernel density estimation with applications to image segmentation and retrieval
description	This thesis presents a new mixture density estimation method that is capable of estimating the number of components by using group membership functions.
author2	Liu, Jun
author_facet	Liu, Jun Yang, Xiangyu
format	Theses and Dissertations
author	Yang, Xiangyu
author_sort	Yang, Xiangyu
title	Mixture analysis and kernel density estimation with applications to image segmentation and retrieval
title_short	Mixture analysis and kernel density estimation with applications to image segmentation and retrieval
title_full	Mixture analysis and kernel density estimation with applications to image segmentation and retrieval
title_fullStr	Mixture analysis and kernel density estimation with applications to image segmentation and retrieval
title_full_unstemmed	Mixture analysis and kernel density estimation with applications to image segmentation and retrieval
title_sort	mixture analysis and kernel density estimation with applications to image segmentation and retrieval
publishDate	2008
url	http://hdl.handle.net/10356/2540
_version_	1759855067543896064

Mixture analysis and kernel density estimation with applications to image segmentation and retrieval

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