Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery.
Martin GenzelMaximilian MärzRobert SeidelPublished in: CoRR (2020)
Keyphrases
- total variation
- compressed sensing
- sample complexity
- natural images
- denoising
- image denoising
- image restoration
- image reconstruction
- learning problems
- upper bound
- learning algorithm
- sparse representation
- active learning
- lower bound
- random projections
- special case
- supervised learning
- image processing
- signal processing
- super resolution
- noisy images
- multiscale
- face recognition
- semi supervised learning
- sample size
- higher order
- learning tasks
- feature vectors
- pairwise
- objective function