Please use this identifier to cite or link to this item:
https://olympias.lib.uoi.gr/jspui/handle/123456789/11087| Title: | A Sparse and Spatially Constrained Generative Regression Model for fMRI Data Analysis |
| Institution and School/Department of submitter: | Πανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής |
| Keywords: | expectation maximization (em) algorithm,functional magnetic resonance imaging (fmri) analysis,general linear regression model (glm),markov random field (mrf),relevance vector machine (rvm),time-series,bayesian-inference,linear-model,priors,algorithm,design,images,brain |
| URI: | https://olympias.lib.uoi.gr/jspui/handle/123456789/11087 |
| ISSN: | 0018-9294 |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| blekas-2012-A Sparse and Spatially Constrained Generative.pdf | 1.01 MB | Adobe PDF | View/Open Request a copy |
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