Unlabeled Principal Component Analysis.
Yunzhen YaoLiangzu PengManolis C. TsakirisPublished in: NeurIPS (2021)
Keyphrases
- principal component analysis
- principal components
- dimensionality reduction
- face recognition
- active learning
- independent component analysis
- labeled data
- feature extraction
- covariance matrix
- dimension reduction
- linear discriminant analysis
- unsupervised learning
- low dimensional
- unlabeled data
- data points
- face images
- semi supervised learning
- training set
- random projections
- genetic algorithm
- discriminant analysis
- neural network
- dimension reduction methods
- neural classifier
- database
- training samples
- supervised learning
- small number
- prior knowledge
- feature space
- pattern recognition
- data sets