A single SVD sparse dictionary learning algorithm for FMRI data analysis

IEEE Workshop on Statistical Signal Processing Proceedings

Volumn , Issue , 2014, Pages 65-68

  Khalid, Muhammad Usman ^a   Seghouane, Abd Krim ^b  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

functional magnetic resonance imaging (fMRI) analysis; minimum norm; Sparse dictionary learning; sparsity assumption; SVD

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; MAGNETIC RESONANCE IMAGING; SIGNAL PROCESSING; SINGULAR VALUE DECOMPOSITION;

COMPUTATIONALLY EFFICIENT; DICTIONARY LEARNING ALGORITHMS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI) ANALYSIS; INDEPENDENT COMPONENT ANALYSIS(ICA); MINIMUM NORM; SPARSE DICTIONARIES; SPARSITY ASSUMPTION;

LEARNING ALGORITHMS;

EID: 84907402611     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSP.2014.6884576     Document Type: Conference Paper

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