Mixed-Precision Random Projection for RandNLA on Tensor Cores.
Hiroyuki OotomoRio YokotaPublished in: PASC (2023)
Keyphrases
- random projections
- dimensionality reduction
- original data
- compressed sensing
- sparse representation
- lossy image compression
- random sampling
- image reconstruction
- principal component analysis
- dimension reduction
- projection matrix
- hash functions
- high dimensional
- low dimensional
- neural network
- machine learning
- high dimensionality
- high dimensional data
- singular value decomposition
- document clustering
- feature extraction
- feature space
- unsupervised learning
- active learning
- linear discriminant analysis
- pattern recognition
- feature selection
- data mining
- random samples