An Empirical-Bayes Approach to Recovering Linearly Constrained Non-Negative Sparse Signals.
Jeremy P. VilaPhilip SchniterPublished in: IEEE Trans. Signal Process. (2014)
Keyphrases
- linearly constrained
- linear constraints
- signal reconstruction
- variational inequalities
- positive and negative
- decision trees
- tensor factorization
- signal processing
- sparse representation
- compressive sensing
- natural images
- super resolution
- sensitivity analysis
- blind source separation
- linear programming
- support vector machine
- special case
- support vector
- reinforcement learning
- bayesian networks