Compressed Principal Component Analysis of Non-Gaussian Vectors.
Marc MignoletChristian SoizePublished in: SIAM/ASA J. Uncertain. Quantification (2020)
Keyphrases
- principal component analysis
- independent component analysis
- principal components
- lower dimensional
- dimensionality reduction
- covariance matrix
- high dimensional data
- dimension reduction
- feature vectors
- blind source separation
- covariance matrices
- low dimensional
- data structure
- linear discriminant analysis
- face images
- data compression
- non stationary
- feature extraction
- face recognition
- discriminant analysis
- vector space
- singular value decomposition
- factor analysis
- feature space
- autoregressive
- random projections
- compressed domain
- signal processing
- gaussian distribution
- negative matrix factorization
- high dimensional
- data sets