EEG Signal Classification Using Manifold Learning and Matrix-Variate Gaussian Model.
Lei ZhuQifeng HuJunting YangJianhai ZhangPing XuNanjiao YingPublished in: Comput. Intell. Neurosci. (2021)
Keyphrases
- manifold learning
- eeg signals
- gaussian model
- dimension reduction
- feature extraction
- low dimensional
- classification accuracy
- dimensionality reduction
- feature selection
- high dimensional
- feature space
- decision trees
- brain computer interface
- semi supervised
- supervised learning
- signal processing
- extracted features
- pattern recognition
- high dimensional data
- machine learning
- preprocessing
- unsupervised learning
- text classification
- singular value decomposition
- image classification
- object recognition
- training set
- image space
- support vector machine
- conditional independence
- feature vectors
- pairwise