Penalized Principal Component Analysis using Nesterov Smoothing.
Rebecca M. HurwitzGeorg HahnPublished in: CoRR (2023)
Keyphrases
- principal component analysis
- preprocessing step
- least squares
- semidefinite programming
- principal components
- convex concave
- dimensionality reduction
- covariance matrix
- independent component analysis
- low dimensional
- linear discriminant analysis
- discriminant analysis
- maximum likelihood
- dimension reduction
- face images
- face recognition
- smoothing algorithm
- smoothing methods
- model selection
- feature extraction
- variable selection
- singular value decomposition
- feature space
- computer vision
- negative matrix factorization
- learning algorithm
- structured prediction
- training procedure
- linear programming