Dimensionality Reduction for BCI Classification using Riemannian Geometry.
Pedro Luiz Coelho RodriguesFlorent BouchardMarco CongedoChristian JuttenPublished in: GBCIC (2017)
Keyphrases
- dimensionality reduction
- pattern recognition
- feature extraction
- classification accuracy
- machine learning
- high dimensionality
- dimensionality reduction methods
- feature vectors
- motor imagery
- image classification
- manifold learning
- support vector machine
- feature space
- signal processing
- affine invariant
- text classification
- support vector
- pattern classification
- kernel learning
- pattern recognition and machine learning
- support vector machine svm
- training set
- feature selection