Distributed sparse random projections for refinable approximation.
Wei WangMinos N. GarofalakisKannan RamchandranPublished in: IPSN (2007)
Keyphrases
- random projections
- compressive sensing
- compressed sensing
- sparse representation
- dimensionality reduction
- dimension reduction
- low dimensional
- image reconstruction
- hash functions
- signal reconstruction
- random sampling
- principal component analysis
- high dimensionality
- high dimensional data
- original data
- data sets
- high dimensional
- feature space
- image processing
- active learning
- high quality
- training data
- learning algorithm
- data mining