Integrating joint feature selection into subspace learning: a formulation of 2DPCA for outliers robust feature selection Razzak, Muhammad Imran, Saris, Raghib Abu, Blumenstein, Michael and Xu, Guandong 2020, Integrating joint feature selection into subspace learning: a formulation of 2DPCA for outliers robust feature selection, Neural networks, vol. 121, pp. 441-451, doi: 10.1016/j.neunet.2019.08.030. Attached Files Name Description MIMEType Size Downloads Title Integrating joint feature selection into subspace learning: a formulation of 2DPCA for outliers robust feature selection Author(s) Razzak, Muhammad Imran orcid.org/0000-0002-3930-6600 Saris, Raghib Abu Blumenstein, Michael Xu, Guandong Journal name Neural networks Volume number 121 Start page 441 End page 451 Total pages 11 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2020-01 ISSN 0893-6080 Language eng DOI 10.1016/j.neunet.2019.08.030 Indigenous content off Field of Research MD Multidisciplinary HERDC Research category C1.1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30132737 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to published version Go to link with your DU access privileges     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 Mon, 02 Dec 2019, 12:47:21 EST Tue, 03 Dec 2019, 04:00:23 EST Tue, 03 Dec 2019, 05:05:16 EST Thu, 05 Dec 2019, 09:52:51 EST Thu, 05 Dec 2019, 09:59:45 EST Fri, 06 Dec 2019, 12:31:52 EST Thu, 06 Feb 2020, 20:35:11 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 70 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 02 Dec 2019, 12:47:21 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.