Keyphrases
- covariance matrix
- high dimensional
- differentially private
- estimation error
- covariance matrices
- principal component analysis
- differential privacy
- mahalanobis distance
- low dimensional
- dimensionality reduction
- nearest neighbor
- sample size
- high dimensional data
- gaussian mixture
- data points
- feature space
- objective function
- correlation matrix
- geometrical interpretation
- multivariate gaussian
- dimension reduction
- data access
- contingency tables
- privacy preserving
- eigenvalues and eigenvectors
- sparse representation
- face recognition
- image processing