Spatial Correlation Preserving EEG Dimensionality Reduction Using Machine Learning.
Haymanot Gebre-AmlakHoang (Mark) NguyenJesse LoweAla-Addin NabulsiNarisa Nan ChuyPublished in: BIBM (2018)
Keyphrases
- spatial correlation
- dimensionality reduction
- machine learning
- pattern recognition
- temporal correlation
- feature selection
- high dimensional
- low dimensional
- machine learning methods
- high dimensionality
- principal component analysis
- high dimensional data
- feature extraction
- data representation
- learning tasks
- machine learning algorithms
- computer vision
- signal processing
- brain computer interface
- eeg signals
- structure preserving
- data mining
- knowledge acquisition
- text mining
- event related
- data points
- active learning
- kernel pca
- learning algorithm
- artificial intelligence
- feature space
- data sets
- nonlinear dimensionality reduction
- random projections
- image processing
- manifold learning
- linear discriminant analysis
- information extraction
- supervised learning
- semi supervised learning