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Constrained maximum likelihood based efficient dictionary learning for fMRI analysis

Khalid, Muhammad; Seghouane, Abd-Krim

Description

A principal component analysis (PCA) based dictionary initialization approach accompanied by a computationally efficient dictionary learning algorithm for statistical analysis of functional magnetic resonance imaging (fMRI) is proposed. It replaces a singular value decomposition (SVD) computation with an approximate solution to obtain a local minima for a given initial dictionary. The K-SVD has been recently used to develop a data-driven sparse general linear model (GLM) framework for fMRI...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Conference paper
URI: http://hdl.handle.net/1885/67941
Source: 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

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