One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data Razzak, Imran, Moustafa, N, Mumtaz, S and Xu, G 2021, One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data, International Journal of Intelligent Systems, pp. 1-22, doi: 10.1002/int.22729. Attached Files Name Description MIMEType Size Downloads Title One-class tensor machine with randomized projection for large-scale anomaly detection in high-dimensional and noisy data Author(s) Razzak, Imran orcid.org/0000-0002-3930-6600 Moustafa, N Mumtaz, S Xu, G Journal name International Journal of Intelligent Systems Start page 1 End page 22 Total pages 22 Publisher Wiley Place of publication Chichester, Eng. Publication date 2021-11-08 ISSN 0884-8173 1098-111X Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Computer Science high-dimensional data randomized STM DETECTION SYSTEMS ROBUST Language eng DOI 10.1002/int.22729 Field of Research 0801 Artificial Intelligence and Image Processing 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30158401 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   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. Versions Version Filter Type Fri, 12 Nov 2021, 07:12:23 EST Tue, 16 Nov 2021, 07:50:47 EST Tue, 16 Nov 2021, 07:58:04 EST Wed, 17 Nov 2021, 08:06:23 EST Sat, 20 Nov 2021, 01:46:13 EST Sat, 27 Nov 2021, 01:31:18 EST Fri, 14 Jan 2022, 05:03:47 EST Fri, 28 Jan 2022, 10:07:44 EST Fri, 28 Jan 2022, 13:27:19 EST Fri, 28 Jan 2022, 13:32:37 EST Fri, 28 Jan 2022, 13:44:27 EST Wed, 30 Mar 2022, 14:15:10 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 26 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Fri, 12 Nov 2021, 07:12:23 EST