Model-Based Source Separation for Multi-Class Motor Imagery | Zendy

Cédric GouyPailler | Zendy; Marco Congedo | Zendy; Christian Jutten | Zendy; Clemens Brunner | Zendy; Gert Pfurtscheller | Zendy

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Model-Based Source Separation for Multi-Class Motor Imagery

Author(s) -

Cédric GouyPailler,

Marco Congedo,

Christian Jutten,

Clemens Brunner,

Gert Pfurtscheller

Publication year - 2008

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - Uncategorized

Resource type - Conference proceedings

Subject(s) - discriminative model , computer science , a priori and a posteriori , independent component analysis , artificial intelligence , motor imagery , brain–computer interface , source separation , task (project management) , machine learning , independence (probability theory) , class (philosophy) , pattern recognition (psychology) , exploit , blind signal separation , separation (statistics) , task analysis , data mining , mathematics , electroencephalography , statistics , psychology , psychiatry , computer network , philosophy , channel (broadcasting) , management , computer security , epistemology , economics

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