2016/10/11 by Moreno, Manuel Morante, Kopsinis, Yannis, Kofidis, Eleftherios +2
#FOS: Computer and information sciences #Machine Learning (stat.ML)
paper · doi:10.48550/arxiv.1610.03276
Extracting information from functional magnetic resonance (fMRI) images has been a major area of research for more than two decades. The goal of this work is to present a new method for the analysis of fMRI data sets, that is capable to incorporate a priori available information, via an efficient optimization framework. Tests on synthetic data sets demonstrate significant performance gains over existing methods of this kind.