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.

Bibliographic Details
Main Author: Yang, Xiangyu
Other Authors: Liu, Jun
Format: Thesis
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/2540
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author Yang, Xiangyu
author2 Liu, Jun
author_facet Liu, Jun
Yang, Xiangyu
author_sort Yang, Xiangyu
collection NTU
description This thesis presents a new mixture density estimation method that is capable of estimating the number of components by using group membership functions.
first_indexed 2024-10-01T04:49:31Z
format Thesis
id ntu-10356/2540
institution Nanyang Technological University
last_indexed 2024-10-01T04:49:31Z
publishDate 2008
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spelling ntu-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
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
title 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_short 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
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
url http://hdl.handle.net/10356/2540
work_keys_str_mv AT yangxiangyu mixtureanalysisandkerneldensityestimationwithapplicationstoimagesegmentationandretrieval