Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/2540
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yang, Xiangyu | en_US |
dc.date.accessioned | 2008-09-17T09:05:01Z | |
dc.date.available | 2008-09-17T09:05:01Z | |
dc.date.copyright | 2004 | en_US |
dc.date.issued | 2004 | |
dc.identifier.uri | http://hdl.handle.net/10356/2540 | |
dc.description.abstract | This thesis presents a new mixture density estimation method that is capable of estimating the number of components by using group membership functions. | en_US |
dc.rights | Nanyang Technological University | en_US |
dc.subject | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition | |
dc.title | Mixture analysis and kernel density estimation with applications to image segmentation and retrieval | en_US |
dc.type | Thesis | en_US |
dc.contributor.supervisor | Liu, Jun | en_US |
dc.contributor.school | School of Computer Engineering | en_US |
dc.description.degree | Doctor of Philosophy (EEE) | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | SCSE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
YangXiangyu04.pdf Restricted Access | Main report | 18.98 MB | Adobe PDF | View/Open |
Page view(s) 50
565
Updated on Apr 23, 2025
Download(s)
4
Updated on Apr 23, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.