The reduction subset based on rough sets applied to texture classification Pan, Li, Nahavandi, Saeid and Lan, Jinhui 2003, The reduction subset based on rough sets applied to texture classification, in Program & abstracts : the Second International Conference on Computational Intelligence, Robotics and Autonomous Systems : CIRAS 2003 : 15-18 December 2003, Pan Pacific Hotel, Singapore, Center for Intelligent Control, National University of Singapore, Singapore. Attached Files Name Description MIMEType Size Downloads nahavandi-thereductionsubset-2003.pdf Published version application/pdf 398.33KB 74 Title The reduction subset based on rough sets applied to texture classification Author(s) Pan, Li Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Lan, Jinhui Conference name International Conference on Computational Intelligence, Robotics and Autonomous Systems (2nd : 2003 : Singapore) Conference location Singapore Conference dates 15-18 December 2003 Title of proceedings Program & abstracts : the Second International Conference on Computational Intelligence, Robotics and Autonomous Systems : CIRAS 2003 : 15-18 December 2003, Pan Pacific Hotel, Singapore Editor(s) Vadakkepat, Prahlad Publication date 2003 Publisher Center for Intelligent Control, National University of Singapore Place of publication Singapore Summary The rough set is a new mathematical approach to imprecision, vagueness and uncertainty. The concept of reduction of the decision table based on the rough sets is very useful for feature selection. The paper describes an application of rough sets method to feature selection and reduction in texture images recognition. The methods applied include continuous data discretization based on Fuzzy c-means and, and rough set method for feature selection and reduction. The trees extractions in the aerial images were applied. The experiments show that the methods presented in this paper are practical and effective. Notes 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 ISSN 0219-6131 Language eng Field of Research 099999 Engineering not elsewhere classified HERDC Research category E1 Full written paper - refereed Copyright notice ©2003, CIRAS Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30005249 Document type: Conference Paper Collections: School of Engineering and Technology Open Access Collection   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. 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. Versions Version Filter Type Tue, 02 Dec 2008, 15:12:28 EST Fri, 18 Jun 2010, 09:00:57 EST Mon, 21 Jun 2010, 12:35:08 EST Wed, 05 Oct 2011, 10:58:45 EST Tue, 05 Dec 2017, 06:15:18 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 689 Abstract Views, 74 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 09:47:18 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.