A quasi-random sampling approach to image retrieval

Zhou, Jun and Robles-Kelly, Antonio 2008, A quasi-random sampling approach to image retrieval, in CVPR 2008 : Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 357-364, doi: 10.1109/CVPR.2008.4587387.

Attached Files
Name Description MIMEType Size Downloads

Title A quasi-random sampling approach to image retrieval
Author(s) Zhou, Jun
Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Conference name IEEE Computer Society. Conference (26th : 2008 : Anchorage, Alaska)
Conference location Anchorage, Alaska
Conference dates 2008/06/23 - 2008/06/28
Title of proceedings CVPR 2008 : Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition
Editor(s) [Unknown]
Publication date 2008
Series IEEE Computer Society Conference
Start page 357
End page 364
Total pages 8
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) image sampling
image retrieval
information retrieval
content based retrieval
image databases
clustering algorithms
Science & Technology
Technology
Computer Science
ISSN 1063-6919
Language eng
DOI 10.1109/CVPR.2008.4587387
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30125493

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 40 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 11 Jul 2019, 14:02:04 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.