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Sample-Poor Estimation of Order and Common Signal Subspace with Application to Fusion of Medical Imaging Data

Due to their data-driven nature, multivariate methods such as canonical correlation analysis (CCA) have proven very useful for fusion of multimodal neurological data. However, being able to determine the degree of similarity between datasets and appropriate order selection are crucial to the success...

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Bibliografiske detaljer
Udgivet i:Neuroimage
Main Authors: Levin-Schwartz, Yuri, Song, Yang, Schreier, Peter J., Calhoun, Vince D., Adalı, Tülay
Format: Artigo
Sprog:Inglês
Udgivet: 2016
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4912912/
https://ncbi.nlm.nih.gov/pubmed/27039696
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2016.03.058
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