Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method
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Alçіn, Ömer F, Siuly, Siuly 
ORCID: 0000-0003-2491-0546, Bajaj, Varun ORCID: 0000-0002-8721-1219, Guo, Yanhui ORCID: 0000-0003-1814-9682, Şengu r, Abdulkadir 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 | 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 | 54 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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