Sparse Generalised Principal Component Analysis.
Luke SmallmanAndreas ArtemiouJennifer MorganPublished in: Pattern Recognit. (2018)
Keyphrases
- principal component analysis
- random projections
- independent component analysis
- sparse pca
- sparse data
- dimensionality reduction
- dimension reduction
- low dimensional
- face recognition
- discriminant analysis
- principal components
- high dimensional
- feature space
- covariance matrix
- linear discriminant analysis
- sparse representation
- compressive sensing
- negative matrix factorization
- kernel pca
- compressed sensing
- feature extraction
- singular value decomposition
- face images
- training procedure
- sparse matrix