Application of nonlinear classifiers with the principal component analysis in fMRI language activation pattern recognition in a multisite study for pediatric epilepsy

Proceedings of the 2009 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2009

Volumn 2, Issue , 2009, Pages 754-758

  You, X ^a   Guillen, M ^a   Gaillard, W D ^b   Adjouadi, M ^a  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

^b CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

Author keywords

FMRI; Language networks; NDF; PCA; SVM

Indexed keywords

FMRI; LANGUAGE NETWORKS; NDF; PCA; SVM;

MAGNETIC RESONANCE IMAGING; NEUROLOGY; PEDIATRICS; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

COMPUTER VISION;

EID: 84864913024     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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