Creating generalizable downstream graph models with random projections.
Anton AmirovChris QuirkJennifer NevillePublished in: CoRR (2023)
Keyphrases
- random projections
- compressive sensing
- compressed sensing
- dimensionality reduction
- dimension reduction
- random sampling
- image reconstruction
- sparse representation
- original data
- principal component analysis
- low dimensional
- hash functions
- neural network
- distributed source coding
- high dimensionality
- unsupervised learning
- least squares
- pattern recognition
- database systems