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- W3097790858 abstract "The Tucker model is a tensor decomposition method for multi-way data analysis. However, its application in the area of multi-channel electroencephalogram (EEG) is rare and often without detailed electrophysiological interpretation of the obtained results. In this work, we apply the Tucker model to a set of multi-channel EEG data recorded over several separate sessions of motor imagery training. We consider a three-way and four-way version of the model and investigate its effect when applied to multi-session data. We discuss the advantages and disadvantages of both Tucker model approaches." @default.
- W3097790858 created "2020-11-09" @default.
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- W3097790858 date "2020-01-01" @default.
- W3097790858 modified "2023-09-26" @default.
- W3097790858 title "Tucker Tensor Decomposition of Multi-session EEG Data" @default.
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- W3097790858 doi "https://doi.org/10.1007/978-3-030-61609-0_10" @default.
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