Conference Proceedings

CSMSDL: A COMMON SEQUENTIAL DICTIONARY LEARNING ALGORITHM FOR MULTI-SUBJECT FMRI DATA SETS ANALYSIS

Abd-Krim Seghouane, Asif Iqbal

2017 IEEE International Conference on Image Processing (ICIP) | IEEE | Published : 2017

DOI: 10.1109/ICIP.2017.8297056

University of Melbourne Researchers

Related Projects (1)

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EFFICIENT LEARNING FROM MULTIPLE BRAIN IMAGING DATA SETS

Brain imaging data analysis methods have proven to be very effective in the study of brain functions and the identification of brain disorde..

Grants

Awarded by Australian Research Council

Funding Acknowledgements

This work was supported by the Australian Research Council through Grant FT. 130101394

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Keywords

Imaging Science & Photographic Technology
Technology
Sparse Representation
Functional Magnetic Resonance Imaging (fmri)
Sparsity
Divergence
Science & Technology
Criterion
Multi-Subjects
Dictionary Learning