Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to Eeg and Fmri Data
Published: Apr 1, 2018
Abstract
Methods based on independent component analysis (ICA) and canonical correlation analysis (CCA) as well as their various extensions have become popular for the fusion of multimodal data as they minimize assumptions about the relationships among multiple datasets. Two important extensions that are widely used, joint ICA (jICA) and parallel ICA (pICA), make a number of simplifying assumptions that might limit their usefulness such as identical...
Paper Details
Title
Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to Eeg and Fmri Data
Published Date
Apr 1, 2018
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