Unlabeled Principal Component Analysis.
Yunzhen YaoLiangzu PengManolis C. TsakirisPublished in: CoRR (2021)
Keyphrases
- principal component analysis
- dimensionality reduction
- independent component analysis
- unsupervised learning
- principal components
- covariance matrix
- dimension reduction
- unlabeled data
- low dimensional
- feature extraction
- feature space
- discriminant analysis
- semi supervised learning
- active learning
- data points
- face images
- face recognition
- supervised learning
- prior knowledge
- labeled data
- training data
- labeled examples
- singular value decomposition
- linear discriminant analysis
- random projections
- high dimensional
- computer vision
- database
- negative matrix factorization
- lower dimensional
- sample size
- training examples
- image sequences
- feature selection
- search engine
- artificial intelligence