Exploiting Prior Knowledge in The Recovery of Signals from Noisy Random Projections.
Javier Garcia-FríasInaki EsnaolaPublished in: DCC (2007)
Keyphrases
- random projections
- prior knowledge
- signal reconstruction
- compressive sensing
- dimensionality reduction
- compressed sensing
- dimension reduction
- signal processing
- original data
- image reconstruction
- sparse representation
- random sampling
- principal component analysis
- low dimensional
- distributed source coding
- hash functions
- data sets
- document clustering
- high dimensionality
- digital libraries
- sample size
- similarity search
- high dimensional
- support vector
- training data
- information retrieval
- neural network