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Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method

Alçіn, Ö, Siuly, Siuly ORCID: 0000-0003-2491-0546, Bajaj, V, Guo, Y, Şengu r, A and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2016) Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method. Neurocomputing, 218. 251 - 258. ISSN 0925-2312

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Item Type: Article
Uncontrolled Keywords: electroencephalogram; signal processing; Gray Level Co-occurrence Matrix; extreme learning machine; neurological disease; feature extraction
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 0906 Electrical and Electronic Engineering
FOR Classification > 1702 Cognitive Science
Faculty/School/Research Centre/Department > Centre for Applied Informatics
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Symplectic Elements
Date Deposited: 29 May 2017 01:21
Last Modified: 20 May 2019 07:04
URI: http://vuir.vu.edu.au/id/eprint/33543
DOI: https://doi.org/10.1016/j.neucom.2016.08.050
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Citations in Scopus: 20 - View on Scopus

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