Polar n-Complex and n-Bicomplex Singular Value Decomposition and Principal Component Pursuit.
Tak-Shing T. ChanYi-Hsuan YangPublished in: CoRR (2018)
Keyphrases
- singular value decomposition
- principal components
- principal component analysis
- dimensionality reduction
- null space
- dimension reduction
- singular values
- low rank
- least squares
- latent semantic indexing
- feature space
- low dimensional
- kernel space
- support vector
- image processing
- data sets
- feature extraction
- covariance matrix
- classification accuracy
- linear discriminant analysis
- high dimensional
- manifold learning
- face recognition
- image sequences
- data matrix