HDF: Hybrid deep features for scene image representation Sitaula, Chiranjibi, Xiang, Yong, Basnet, Anish, Aryal, Sunil and Lu, Xuequan 2020, HDF: Hybrid deep features for scene image representation, in IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-8, doi: 10.1109/ijcnn48605.2020.9207106. Attached Files Name Description MIMEType Size Downloads Title HDF: Hybrid deep features for scene image representation Author(s) Sitaula, Chiranjibi orcid.org/0000-0002-4564-2985 Xiang, Yong orcid.org/0000-0003-3545-7863 Basnet, Anish Aryal, Sunil orcid.org/0000-0002-6639-6824 Lu, Xuequan orcid.org/0000-0003-0959-408X Conference name IEEE Computational Intelligence Society. Conference (2020 : Online from Glasgow, Scotland) Conference location Online from Glasgow, Scotland Conference dates 2020/07/19 - 2020/07/24 Title of proceedings IJCNN 2020 : Proceedings of the 2020 International Joint Conference on Neural Networks Editor(s) [Unknown] Publication date 2020 Series IEEE Computational Intelligence Society Conference Start page 1 End page 8 Total pages 8 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Keyword(s) Deep learning Feature extraction Hybrid deep features Image classification Image representation Machine learning ISBN 978-1-7281-6926-2 Language eng DOI 10.1109/ijcnn48605.2020.9207106 Indigenous content off HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30142401 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description 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 Mon, 21 Sep 2020, 15:20:37 EST Tue, 22 Sep 2020, 05:01:53 EST Tue, 06 Oct 2020, 14:23:51 EST Tue, 06 Oct 2020, 14:24:37 EST Thu, 08 Oct 2020, 05:03:54 EST Tue, 13 Oct 2020, 09:49:08 EST Tue, 13 Oct 2020, 09:54:19 EST Sat, 07 Nov 2020, 01:31:50 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 83 Abstract Views, 6 File Downloads  -  Detailed Statistics Created: Tue, 06 Oct 2020, 14:24:37 EST

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