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A Sparse Representation-Based Algorithm for Pattern Localization in Brain Imaging Data Analysis

Considering the two-class classification problem in brain imaging data analysis, we propose a sparse representation-based multi-variate pattern analysis (MVPA) algorithm to localize brain activation patterns corresponding to different stimulus classes/brain states respectively. Feature selection can...

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Detalles Bibliográficos
Autores principales:	Li, Yuanqing, Long, Jinyi, He, Lin, Lu, Haidong, Gu, Zhenghui, Sun, Pei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2012
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3515601/ https://www.ncbi.nlm.nih.gov/pubmed/23227167 http://dx.doi.org/10.1371/journal.pone.0050332

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