Enhanced Data Covariance Estimation Using Weighted Combination of Multiple Gaussian Kernels for Improved M/EEG Source Localization.

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第一作者： J D,Martinez-Vargas

第一单位： 1Instituto Tecnológico Metropolitano, Medellín, Colombia.;4Signal Processing and Recognition Group, Universidad Nacional de Colombia, Manizales, Colombia.

作者： J D,Martinez-Vargas ^[1] ; L,Duque-Muñoz ^[2] ; F,Vargas-Bonilla ^[3] ; J D,Lopez ^[3] ; G,Castellanos-Dominguez ^[4]

作者单位： 1Instituto Tecnológico Metropolitano, Medellín, Colombia.;4Signal Processing and Recognition Group, Universidad Nacional de Colombia, Manizales, Colombia. ^[1] 2SISTEMIC, Engineering Faculty, Universidad de Antioquia UDEA. AE & CC, Instituto Tecnológico Metropolitano, Medellín, Colombia. ^[2] 3SISTEMIC, Engineering Faculty, Universidad de Antioquia UDEA, Medellín, Colombia. ^[3] 4Signal Processing and Recognition Group, Universidad Nacional de Colombia, Manizales, Colombia. ^[4]

关键词 Gaussian kernel M/EEG inverse problem enhanced data covariance multiple kernel learning

主题词计算机模拟(Computer Simulation);脑电描记术(Electroencephalography);人类(Humans);脑磁图描记术(Magnetoencephalography);模型, 统计学(Models, Statistical)

DOI 10.1142/S0129065719500011

PMID 30859856

发布时间 2020-01-10

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准确一般字义偏差语意偏离译文作用小提交