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Rigorous optimisation of multilinear discriminant analysis with Tucker and PARAFAC structures
BACKGROUND: We 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 bas...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977741/ https://www.ncbi.nlm.nih.gov/pubmed/29848301 http://dx.doi.org/10.1186/s12859-018-2188-0 |