2019 International Conference on Cyberworlds (CW) 2019
DOI: 10.1109/cw.2019.00047
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Electroencephalography Based Motor Imagery Classification Using Unsupervised Feature Selection

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Cited by 9 publications
(17 citation statements)
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“…A number of high-rank features are selected according to the obtained ranking. The UDFS, which is an unsupervised approach, is introduced in a previous work [35]. The class labels are available in the dataset BCI Competition III (4a).…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…A number of high-rank features are selected according to the obtained ranking. The UDFS, which is an unsupervised approach, is introduced in a previous work [35]. The class labels are available in the dataset BCI Competition III (4a).…”
Section: Resultsmentioning
confidence: 99%
“…Different experiments are conducted with BCI Competition III dataset 4a to illustrate the effectiveness of the proposed feature selection approach. The performances in terms of classification accuracy of MI-BCI using simple CSP-SVM (without feature selection), UDFS-based [35] feature selection, and the proposed NCFS-based feature selection methods for the five subjects are presented in Fig. 4.…”
Section: Resultsmentioning
confidence: 99%
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