A maximum likelihood framework for iterative eigendecomposition

Robles-Kelly, Antonio and Hancock, ER 2001, A maximum likelihood framework for iterative eigendecomposition, in EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL I, PROCEEDINGS, IEEE COMPUTER SOC,, pp. 654-661.

Attached Files
Name Description MIMEType Size Downloads

Title A maximum likelihood framework for iterative eigendecomposition
Author(s) Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Hancock, ER
Conference name 8th IEEE International Conference on Computer Vision (ICCV 2001)
Conference location VANCOUVER, CANADA
Conference dates 2001/07/07 - 2001/07/14
Title of proceedings EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL I, PROCEEDINGS
Publication date 2001
Start page 654
End page 661
Total pages 8
Publisher IEEE COMPUTER SOC
Keyword(s) Science & Technology
Technology
Physical Sciences
Computer Science, Artificial Intelligence
Engineering, Electrical & Electronic
Optics
Imaging Science & Photographic Technology
Computer Science
Engineering
STOCHASTIC COMPLETION FIELDS
ISBN 0-7695-1144-9
Language eng
Indigenous content off
HERDC Research category E1.1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30127503

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 3 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 13 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Fri, 19 Jul 2019, 14:09:08 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.