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

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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
URI https://vuir.vu.edu.au/id/eprint/33543
DOI https://doi.org/10.1016/j.neucom.2016.08.050
Official URL http://www.sciencedirect.com/science/article/pii/S...
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Historical > FOR Classification > 1702 Cognitive Science
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Current > Division/Research > College of Science and Engineering
Keywords electroencephalogram; signal processing; Gray Level Co-occurrence Matrix; extreme learning machine; neurological disease; feature extraction
Citations in Scopus 43 - View on Scopus
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