Kernel principal component analysis for dimensionality reduction in fMRI-based diagnosis of ADHD

Frontiers in Systems Neuroscience

Volumn , Issue OCTOBER 2012, 2012, Pages 1-17

  Sidhu, Gagan ^a,b,c   Asgarian, Nasimeh ^a,b   Greiner, Russell ^a,b   Brown, Matthew R G ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

^b Alberta Innovates Center for Machine Learning (AICML)   (Canada)

^c General Analytics (GA) Inc   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; ATTENTION DEFICIT DISORDER; BOLD SIGNAL; CONTROLLED STUDY; FOURIER TRANSFORMATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE PROCESSING; INTERMETHOD COMPARISON; KERNEL METHOD; MAJOR CLINICAL STUDY; MATHEMATICAL ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

EID: 84867707087     PISSN: 16625137     EISSN: None     Source Type: Journal    
DOI: 10.3389/fnsys.2012.00074     Document Type: Article

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