Supervised categorized principal component analysis for imagined speech classification via applying singular value decomposition on a symmetry matrix.
Xiao-Ben ZhengBingo Wing-Kuen LingSong-Yi ZhengCaijun LiPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- singular value decomposition
- principal component analysis
- dimension reduction
- singular values
- low rank
- dimensionality reduction
- supervised learning
- least squares
- feature extraction
- latent semantic indexing
- machine learning
- singular vectors
- feature space
- unsupervised learning
- feature selection
- face recognition
- image classification
- information retrieval
- factorization method
- correlation matrix
- support vector
- data matrix
- measurement matrix
- low rank approximation
- low rank matrices
- low dimensional
- training set
- principal components
- training samples
- text classification
- null space
- support vector machine
- computer vision
- learning algorithm
- discriminant analysis
- independent component analysis
- high dimensionality
- model selection
- semi supervised
- qr decomposition
- data sets