Keyphrases
- high dimensional data
- linear subspace
- feature extraction
- principal component analysis
- dimensionality reduction
- low dimensional
- feature space
- high dimensional
- worst case
- confidence intervals
- subspace learning
- lower dimensional
- joint estimation
- face recognition
- eigendecomposition
- asymptotically optimal
- subspace clustering
- estimation error
- principal components
- closed form
- sample size