Principal angles preserving property of Gaussian random projection for subspaces.
Yuchen JiaoGen LiYuantao GuPublished in: GlobalSIP (2017)
Keyphrases
- random projections
- lower dimensional
- low dimensional
- principal component analysis
- original data
- dimensionality reduction
- dimension reduction
- high dimensional data
- compressed sensing
- image reconstruction
- lossy image compression
- random sampling
- high dimensional
- sparse representation
- hash functions
- high dimensionality
- maximum likelihood
- computer vision
- linear discriminant analysis
- document clustering
- machine learning
- data points
- multiscale