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A Parcellation Based Nonparametric Algorithm for Independent Component Analysis with Application to fMRI Data
Independent Component analysis (ICA) is a widely used technique for separating signals that have been mixed together. In this manuscript, we propose a novel ICA algorithm using density estimation and maximum likelihood, where the densities of the signals are estimated via p-spline based histogram sm...
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| Publicado no: | Front Neurosci |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4731731/ https://ncbi.nlm.nih.gov/pubmed/26858592 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2016.00015 |
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