Distributionally Robust Fair Principal Components via Geodesic Descents.
Hieu VuToan TranMan-Chung YueViet Anh NguyenPublished in: CoRR (2022)
Keyphrases
- principal components
- principal component analysis
- multivariate data
- principal components analysis
- dimensionality reduction
- kernel space
- covariance matrix
- pattern recognition
- robust optimization
- hyperplane
- high dimensional data
- spectral data
- computer vision
- shortest path
- feature space
- preprocessing
- face recognition
- image processing