Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Matjaz_Perc>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Yal%E2%88%9A%C3%9Fin_Isler>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Yilmaz_Kemal_Y%E2%88%9A%C4%BEce>
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rdfs:label	Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials. (xsd:string)
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dc:title	Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials. (xsd:string)
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