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INFORMATION THEORETIC FEATURE PROJECTION FOR SINGLE-TRIAL BRAIN-COMPUTER INTERFACES
Current approaches on optimal spatio-spectral feature extraction for single-trial BCIs exploit mutual information based feature ranking and selection algorithms. In order to overcome potential confounders underlying feature selection by information theoretic criteria, we propose a non-parametric fea...
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| Publicat a: | IEEE Int Workshop Mach Learn Signal Process |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6525614/ https://ncbi.nlm.nih.gov/pubmed/31110907 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/MLSP.2017.8168178 |
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