Generative Principal Component Analysis.
Zhaoqiang LiuJiulong LiuSubhroshekhar GhoshJun HanJonathan ScarlettPublished in: ICLR (2022)
Keyphrases
- principal component analysis
- principal components
- generative model
- dimension reduction
- face recognition
- dimensionality reduction
- low dimensional
- independent component analysis
- discriminant analysis
- face images
- linear discriminant analysis
- feature extraction
- unsupervised learning
- lower dimensional
- data driven
- neural network
- negative matrix factorization
- covariance matrix
- neural classifier
- training procedure
- singular value decomposition
- feature space
- least squares
- decision trees
- genetic algorithm