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Publications [#287202] of Ingrid Daubechies

Papers Published

  1. Roussos, E; Roberts, S; Daubechies, I, Variational Bayesian learning of sparse representations and its application in functional neuroimaging, Lecture notes in computer science, vol. 7263 LNAI (2012), pp. 218-225, ISSN 0302-9743 [doi]
    (last updated on 2017/12/11)

    Recent theoretical and experimental work in imaging neuroscience reveals that activations inferred from functional MRI data have sparse structure. We view sparse representation as a problem in Bayesian inference, following a machine learning approach, and construct a structured generative latent-variable model employing adaptive sparsity-inducing priors. The construction allows for automatic complexity control and regularization as well as denoising. Experimental results with benchmark datasets show that the proposed algorithm outperforms standard tools for model-free decompositions such as independent component analysis. © 2012 Springer-Verlag.
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