Compressed sensing and Bayesian experimental design.
Matthias W. SeegerHannes NickischPublished in: ICML (2008)
Keyphrases
- experimental design
- compressed sensing
- image reconstruction
- random projections
- active learning
- empirical studies
- sparse representation
- natural images
- sample size
- feature selection
- fourier domain
- signal processing
- data sets
- class imbalance
- knn
- super resolution
- virtual environment
- high dimensional
- data analysis
- pattern recognition