Generative Principal Component Analysis.
Zhaoqiang LiuJiulong LiuSubhroshekhar GhoshJun HanJonathan ScarlettPublished in: CoRR (2022)
Keyphrases
- principal component analysis
- dimensionality reduction
- generative model
- principal components
- independent component analysis
- covariance matrix
- dimension reduction
- feature space
- linear discriminant analysis
- face recognition
- low dimensional
- unsupervised learning
- negative matrix factorization
- discriminant analysis
- feature extraction
- decision trees
- preprocessing
- pattern recognition
- lower dimensional
- neural classifier
- dimension reduction methods
- probabilistic model
- similarity measure
- kernel principal component analysis