Balancing Gaussian vectors in high dimension.
Paxton TurnerRaghu MekaPhilippe RigolletPublished in: COLT (2020)
Keyphrases
- high dimension
- covariance matrices
- real valued
- high dimensional
- feature space
- small sample
- input space
- feature selection
- maximum likelihood
- high dimensional data
- lower dimension
- feature vectors
- low dimensional
- support vector machine
- data sets
- data analysis
- gaussian distribution
- input data
- principal components
- image data
- bayesian networks
- data mining