Journal article

The adaptive block sparse PCA and its application to multi-subject FMRI data analysis using sparse mCCA

Abd-Krim Seghouane, Asif Iqbal

Signal Processing | ELSEVIER SCIENCE BV | Published : 2018

DOI: 10.1016/j.sigpro.2018.07.021

University of Melbourne Researchers

Related Projects (1)

Project icon

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.

Citation metrics

1Web of Science
2Scopus

Keywords

Networks
Engineering, Electrical & Electronic
Engineering
Multi-Subject Fmri Data Sets
Oracle Properties
Multi-Set Canonical Correlation Analysis
Regression
Sets
Science & Technology
Canonical Correlation-Analysis
Variables
Group Sparse
Recognition
Selection
Principal Component Analysis
Lasso
Technology