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Disjoint Subspaces for Common and Distinct Component Analysis: Application to the Fusion of Multi-task FMRI Data

BACKGROUND: Data-driven methods such as independent component analysis (ICA) makes very few assumptions on the data and the relationships of multiple datasets, and hence, are attractive for the fusion of medical imaging data. Two important extensions of ICA for multiset fusion are the joint ICA (jIC...

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Foilsithe in:J Neurosci Methods
Main Authors: Akhonda, M. A. B. S., Gabrielson, Ben, Bhinge, Suchita, Calhoun, Vince D., Adali, Tülay
Formáid: Artigo
Teanga:Inglês
Foilsithe: 2021
Ábhair:
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC8217295/
https://ncbi.nlm.nih.gov/pubmed/33957159
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2021.109214
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