Principal component analysis in an asymmetric norm.
Ngoc Mai TranPetra BurdejováMaria OspienkoWolfgang K. HärdlePublished in: J. Multivar. Anal. (2019)
Keyphrases
- principal component analysis
- dimensionality reduction
- principal components
- dimension reduction
- independent component analysis
- covariance matrix
- feature extraction
- low dimensional
- face recognition
- objective function
- discriminant analysis
- feature space
- linear discriminant analysis
- face images
- regularized least squares
- singular value decomposition
- learning algorithm
- social norms
- neural network
- neural classifier
- lower dimensional
- negative matrix factorization
- case study
- information retrieval