Uncertainty-Aware Principal Component Analysis.
Jochen GörtlerThilo SpinnerDirk StreebDaniel WeiskopfOliver DeussenPublished in: CoRR (2019)
Keyphrases
- principal component analysis
- principal components
- independent component analysis
- uncertain data
- dimensionality reduction
- low dimensional
- linear discriminant analysis
- databases
- face recognition
- feature extraction
- covariance matrix
- feature space
- face images
- discriminant analysis
- inherent uncertainty
- possibility theory
- dimension reduction
- conditional probabilities
- preprocessing
- image sequences
- artificial intelligence
- neural network