Correlations between random projections and the bivariate normal.
Keegan KangPublished in: Data Min. Knowl. Discov. (2021)
Keyphrases
- random projections
- compressive sensing
- compressed sensing
- dimension reduction
- dimensionality reduction
- random sampling
- image reconstruction
- original data
- low dimensional
- sparse representation
- hash functions
- neural network
- high dimensionality
- principal component analysis
- high dimensional data
- document clustering
- least squares
- high dimensional
- data sets
- image data
- high resolution
- image retrieval
- spatial correlation
- high quality
- distributed source coding