Dimensionality reduction based on Distance Preservation to Local Mean (DPLM) for SPD matrices and its application in BCI.
Alireza DavoudiSaeed Shiry GhidaryKhadijeh SadatnejadPublished in: CoRR (2016)
Keyphrases
- dimensionality reduction
- euclidean distance
- brain computer interface
- low dimensional
- symmetric positive definite
- high dimensional
- euclidean space
- high dimensional data
- feature extraction
- spd matrices
- geodesic distance
- distance measure
- pattern recognition
- signal processing
- principal component analysis
- manifold learning
- data points
- feature space
- feature selection
- distance function
- distance metric
- distance transform
- active learning
- distribution function
- riemannian manifolds
- vector valued