Generalized sparse classifiers for decoding cognitive states in fMRI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6357 LNCS, Issue , 2010, Pages 108-115

  Ng, Bernard ^a   Vahdat, Arash ^b   Hamarneh, Ghassan ^b   Abugharbieh, Rafeef ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

elastic net; fMRI; sparse classifiers; spectral regression

Indexed keywords

BRAIN ACTIVITY; COGNITIVE STATE; ELASTIC NET; FEATURE SELECTION AND CLASSIFICATION; FMRI; FMRI DATA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HIGH DIMENSIONALITY; INTERPRETABILITY; OVER FITTING PROBLEM; OVERFITTING; PATTERN CLASSIFICATION; PREDICTIVE PERFORMANCE; REGULARIZATION TECHNIQUE; SPARSE CLASSIFIERS; SPATIAL CORRELATIONS; SPATIAL SMOOTHNESS; SPECTRAL REGRESSION;

BRAIN; FEATURE EXTRACTION; LEARNING SYSTEMS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; REGRESSION ANALYSIS; RESONANCE; STANDARDS;

CLASSIFIERS;

EID: 77958038408     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15948-0_14     Document Type: Conference Paper

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