Keyphrases
- data dependent
- principal component analysis
- high dimensional
- sparse pca
- generalization bounds
- rademacher complexity
- random projections
- risk bounds
- missing data
- face recognition
- sparse representation
- energy function
- principal components
- reproducing kernel hilbert space
- dimensionality reduction
- energy functional
- input data
- low dimensional
- image analysis
- feature space
- feature extraction