Regularized RKHS-Based Subspace Learning for Motor Imagery Classification.
Linzhi JiangShuyu LiuZhengming MaWenjie LeiCheng ChenPublished in: Entropy (2022)
Keyphrases
- motor imagery
- subspace learning
- eeg signals
- support vector
- pattern recognition
- dimensionality reduction
- brain computer interface
- manifold learning
- image classification
- data representation
- feature vectors
- supervised learning
- feature selection
- eeg data
- feature extraction
- sparse coding
- sparse representation
- loss function
- support vector machine
- semi supervised
- kernel methods
- pattern classification
- unsupervised learning
- classification accuracy
- machine learning
- training set
- multiscale
- feature set