Transferred Subspace Learning Based on Non-negative Matrix Factorization for EEG Signal Classification

EEG signal classification has been a research hotspot recently. The combination of EEG signal classification with machine learning technology is very popular. Traditional machine leaning methods for EEG signal classification assume that the EEG signals are drawn from the same distribution. However,...

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Detalles Bibliográficos
Autores principales: Dong, Aimei, Li, Zhigang, Zheng, Qiuyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024531/
https://www.ncbi.nlm.nih.gov/pubmed/33841089
http://dx.doi.org/10.3389/fnins.2021.647393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024531/
https://www.ncbi.nlm.nih.gov/pubmed/33841089
http://dx.doi.org/10.3389/fnins.2021.647393

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