A dictionary learning formulation with correlated sparsity patterns is proposed to discover dependent functional brain networks from fMRI data, with two solution approaches.
Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions,
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Functional Brain Networks Discovery Using Dictionary Learning with Correlated Sparsity
A dictionary learning formulation with correlated sparsity patterns is proposed to discover dependent functional brain networks from fMRI data, with two solution approaches.