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Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks
Author(s) -
YoonJe Suh,
Byung Hyung Kim
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i1.16168
Subject(s) - embedding , artificial intelligence , riemannian geometry , computer science , riemannian manifold , manifold (fluid mechanics) , artificial neural network , pattern recognition (psychology) , generalization , deep learning , nonlinear dimensionality reduction , feature (linguistics) , feature vector , context (archaeology) , metric (unit) , mathematics , algorithm , pure mathematics , dimensionality reduction , mathematical analysis , geography , mechanical engineering , linguistics , philosophy , operations management , archaeology , engineering , economics

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