Tensor Random Projection for Low Memory Dimension Reduction.
Yiming SunYang GuoJoel A. TroppMadeleine UdellPublished in: CoRR (2021)
Keyphrases
- dimension reduction
- low memory
- random projections
- dimensionality reduction
- principal component analysis
- feature extraction
- high dimensional
- low dimensional
- high dimensional data
- memory requirements
- linear discriminant analysis
- feature selection
- singular value decomposition
- high dimensionality
- projection matrix
- cluster analysis
- unsupervised learning
- feature space
- dimensionality reduction methods
- transform coding
- data sets
- active learning
- pattern recognition