Data-dependent dissimilarity measure: an effective alternative to geometric distance measures

Aryal, Sunil, Ting, Kai Ming, Washio, Takashi and Haffari, Gholamreza 2017, Data-dependent dissimilarity measure: an effective alternative to geometric distance measures, Knowledge and information systems, vol. 53, no. 2, pp. 479-506, doi: 10.1007/s10115-017-1046-0.

Attached Files
Name Description MIMEType Size Downloads

Title Data-dependent dissimilarity measure: an effective alternative to geometric distance measures
Author(s) Aryal, SunilORCID iD for Aryal, Sunil orcid.org/0000-0002-6639-6824
Ting, Kai Ming
Washio, Takashi
Haffari, Gholamreza
Journal name Knowledge and information systems
Volume number 53
Issue number 2
Start page 479
End page 506
Total pages 28
Publisher Springer
Place of publication New York, N.Y.
Publication date 2017
ISSN 0219-3116
Language eng
DOI 10.1007/s10115-017-1046-0
Field of Research 0801 Artificial Intelligence and Image Processing
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2017, Springer-Verlag London
Persistent URL http://hdl.handle.net/10536/DRO/DU:30121091

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 8 times in TR Web of Science
Scopus Citation Count Cited 11 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 42 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Wed, 01 May 2019, 13:36:07 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.