Structure-Preserving Non-Linear PCA for Matrices.
Joni VirtaAndreas ArtemiouPublished in: IEEE Trans. Signal Process. (2024)
Keyphrases
- structure preserving
- dimensionality reduction
- principal component analysis
- singular value decomposition
- principal components analysis
- principal components
- feature extraction
- covariance matrix
- feature space
- face recognition
- dimension reduction
- covariance matrices
- high dimensional
- linear discriminant analysis
- random projections
- low dimensional
- dimensionality reduction methods
- singular values
- principle component analysis
- eigenvalues and eigenvectors
- high dimensional data
- pattern recognition
- manifold learning
- machine learning
- face images
- kernel principal component analysis
- projection matrix
- highly non linear
- original data
- kernel pca
- pairwise
- feature selection