Generalized Sparse Regularization with Application to fMRI Brain Decoding

@article{Ng2011GeneralizedSR,
  title={Generalized Sparse Regularization with Application to fMRI Brain Decoding},
  author={Bernard Ng and Rafeef Abugharbieh},
  journal={Information processing in medical imaging : proceedings of the ... conference},
  year={2011},
  volume={22},
  pages={
          612-23
        }
}

• Bernard Ng, Rafeef Abugharbieh
• Published in IPMI 2011
• DOI:10.1007/978-3-642-22092-0_50

Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effective means for handling the curse of dimensionality, but other propitious properties beyond sparsity are typically not modeled. In this paper, we propose a simple approach, generalized sparse regularization (GSR), for incorporating domain-specific knowledge into a wide range of sparse linear models, such as the LASSO… CONTINUE READING

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