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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 |
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| Main Authors: | , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
2021
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| 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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