Subspace Principal Angle Preserving Property of Gaussian Random Projection.
Yuchen JiaoXinyue ShenGen LiYuantao GuPublished in: DSW (2018)
Keyphrases
- random projections
- dimensionality reduction
- lower dimensional
- low dimensional
- principal component analysis
- projection matrix
- compressed sensing
- dimension reduction
- lossy image compression
- high dimensional data
- sparse representation
- high dimensional
- original data
- image reconstruction
- feature space
- covariance matrices
- feature extraction
- feature selection
- random sampling
- linear discriminant analysis
- hash functions
- document clustering
- pattern recognition
- covariance matrix
- maximum likelihood
- learning algorithm