Rigorous optimisation of multilinear discriminant analysis with Tucker and PARAFAC structures
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DOI: 10.1186/s12859-018-2188-0
Abstract: BackgroundWe propose rigorously optimised supervised feature extraction methods for multilinear data based on Multilinear Discriminant Analysis (MDA) and demonstrate their usage on Electroencephalography (EEG) and simulated data. While existing MDA methods use heuristic optimisation procedures… read more here.
Keywords: mda; mda methods; parafac; multilinear discriminant ... See more keywords