Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification

@article{Zhou2014DiscriminativeSI,
  title={Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification},
  author={Luping Zhou and Lei Wang and Philip Ogunbona},
  journal={2014 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2014},
  pages={3097-3104}
}
Recent studies show that mental disorders change the functional organization of the brain, which could be investigated via various imaging techniques. Analyzing such changes is becoming critical as it could provide new biomarkers for diagnosing and monitoring the progression of the diseases. Functional connectivity analysis studies the covary activity of neuronal populations in different brain regions. The sparse inverse covariance estimation (SICE), also known as graphical LASSO, is one of the… CONTINUE READING
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