Sparse Bayesian learning for Compressed Sensing under Measurement Matrix Uncertainty.
Shengchu WangYunzhou LiJing WangPublished in: WCSP (2013)
Keyphrases
- compressed sensing
- sparse bayesian learning
- random projections
- image reconstruction
- sparse representation
- signal processing
- natural images
- dimensionality reduction
- data sets
- original data
- machine learning
- low dimensional
- principal component analysis
- singular value decomposition
- higher order
- dimension reduction
- random sampling
- support vector machine
- pattern recognition
- projection matrix