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Improved sparse decomposition based on a smoothed L0 norm using a Laplacian kernel to select features from fMRI data.
Zhang, Chuncheng; Song, Sutao; Wen, Xiaotong; Yao, Li; Long, Zhiying.
Afiliação
  • Zhang C; State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China; College of Informat
  • Song S; School of Education and Psychology, Jinan University, Shandong 250022, China.
  • Wen X; Department of Psychology, Renmin University of China, Beijing 100872, China.
  • Yao L; State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China; College of Informat
  • Long Z; State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China. Electronic address:
J Neurosci Methods ; 245: 15-24, 2015 Apr 30.
Article em En | MEDLINE | ID: mdl-25681758
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Reconhecimento Automatizado de Padrão / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Modelos Neurológicos Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2015 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Reconhecimento Automatizado de Padrão / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Modelos Neurológicos Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2015 Tipo de documento: Article