Apple Introduces MVICAD2 for Multi-View Source Separation
Apple researchers propose MVICAD2, a method for multi-view independent component analysis that handles delays and dilations. It addresses challenges in integrating heterogeneous data and aligning feature spaces, particularly for MEG group studies. The approach improves estimation of brain sources from scalp signals, assuming similar sources across subjects.
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