Maria Sayu Yamamoto

Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data

Dimensionality reduction of high-dimensional electroencephalography (EEG) covariance matrices is crucial for effective utilization of Riemannian geometry in Brain-Computer Interfaces (BCI). In this paper, we propose a novel similarity-based classification method that relies on dimensionality reducti…