Precise expressions for random projections: Low-rank approximation and randomized Newton.
Michal DerezinskiFeynman T. LiangZhenyu LiaoMichael W. MahoneyPublished in: CoRR (2020)
Keyphrases
- random projections
- low rank approximation
- singular value decomposition
- dimensionality reduction
- subspace learning
- dimension reduction
- sparse representation
- principal component analysis
- low rank
- original data
- image reconstruction
- low dimensional
- kernel matrix
- hash functions
- spectral clustering
- nonnegative matrix factorization
- iterative algorithms
- least squares
- random sampling
- document clustering
- missing data
- data sets
- neural network
- high dimensional
- pattern recognition
- high dimensional data
- input data
- signal processing