Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems

Background. Usually the training set of online brain-computer interface (BCI) experiment is small. For the small training set, it lacks enough information to deeply train the classifier, resulting in the poor classification performance during online testing. Methods. In this paper, on the basis of Z...

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Detalhes bibliográficos
Publicado no:Comput Math Methods Med
Main Authors: Gao, Dongrui, Zhang, Rui, Liu, Tiejun, Li, Fali, Ma, Teng, Lv, Xulin, Li, Peiyang, Yao, Dezhong, Xu, Peng
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2015
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4621351/
https://ncbi.nlm.nih.gov/pubmed/26550023
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/680769
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