Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data.
Maria Sayu YamamotoFlorian YgerSylvain ChevallierPublished in: ICASSP (2021)
Keyphrases
- eeg data
- euclidean space
- low dimensional
- feature space
- high dimensional data
- brain computer interface
- euclidean distance
- independent component analysis
- principal component analysis
- principal components
- human computer interaction
- neural network
- dimensionality reduction
- manifold learning
- positive and negative
- subspace clustering
- high dimensional
- eeg signals
- pattern recognition