Convex Formulations for Fair Principal Component Analysis.
Matt OlfatAnil AswaniPublished in: CoRR (2018)
Keyphrases
- principal component analysis
- convex formulation
- principal components
- convex optimization
- covariance matrix
- convex sets
- optimization methods
- low dimensional
- linear discriminant analysis
- convex relaxation
- dimension reduction
- face recognition
- piecewise linear
- negative matrix factorization
- face images
- dimensionality reduction
- discriminant analysis
- independent component analysis
- feature extraction
- gradient method
- convex functions
- lower dimensional
- risk minimization
- random projections
- pattern recognition
- data sets
- neural classifier
- dimension reduction methods
- convexity properties
- convex constraints
- globally optimal
- singular value decomposition
- feature space
- machine learning