Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data
Pages: 1 - 6
Published: Mar 20, 2019
Abstract
Data-driven methods based on independent component analysis (ICA) and its extensions, have been attractive for data fusion as they minimize the assumptions placed on the data. Two widely used extensions of ICA, joint ICA (jICA) and multiset canonical correlation analysis prior to joint ICA (MCCA-jICA) fuse data from different datasets by assuming identical mixing matrices. However, these methods typically only take the common features into...
Paper Details
Title
Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data
Published Date
Mar 20, 2019
Pages
1 - 6
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