Convex Formulations for Fair Principal Component Analysis.
Matt OlfatAnil AswaniPublished in: AAAI (2019)
Keyphrases
- principal component analysis
- convex formulation
- principal components
- dimensionality reduction
- convex optimization
- linear discriminant analysis
- face images
- independent component analysis
- dimension reduction
- covariance matrix
- lower dimensional
- convex hull
- feature space
- feature extraction
- convex relaxation
- convex programming
- neural network
- piecewise linear
- neural classifier
- optimization methods
- image processing
- discriminant analysis
- random projections
- low dimensional
- pattern recognition
- semidefinite
- gradient method
- training procedure
- face recognition
- risk minimization
- data sets
- linear discriminate analysis