Online kernel SVM for real-time fMRI brain state prediction

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2011, Pages 2040-2043

  Xi, Yongxin Taylor ^a   Xu, Hao ^a   Lee, Ray ^b   Ramadge, Peter J ^a  

^a Princeton University   (United States)

^b PRINCETON UNIVERSITY   (United States)

Author keywords

fMRI classification; Kernel Support Vector Machine; Online learning

Indexed keywords

BRAIN STATE; CLASSIFICATION METHODS; COGNITIVE STATE; COMPUTATIONAL COSTS; DATA COLLECTION; FMRI CLASSIFICATION; FMRI DATA; FMRI IMAGES; IMAGE COLLECTIONS; MACHINE LEARNING METHODS; MAGNETIC RESONANCE BRAIN IMAGES; ON-LINE CLASSIFIER; ONLINE LEARNING; PREDICTION PERFORMANCE; RUNNING-IN; SEQUENTIAL MINIMIZATION OPTIMIZATIONS; STATE-OF-THE-ART PERFORMANCE; SUPPORT VECTOR; TIME COST;

INTERFACES (COMPUTER); MAGNETIC RESONANCE; SIGNAL PROCESSING; SPEECH COMMUNICATION; SUPPORT VECTOR MACHINES;

BRAIN COMPUTER INTERFACE;

EID: 80051605734     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5946913     Document Type: Conference Paper

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