Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing.
Rongda ZhuQuanquan GuPublished in: ICML (2015)
Keyphrases
- compressed sensing
- sample complexity
- image reconstruction
- theoretical analysis
- learning problems
- upper bound
- sparse representation
- learning algorithm
- supervised learning
- lower bound
- signal processing
- special case
- random projections
- natural images
- generalization error
- sample size
- image segmentation
- computer vision
- machine learning
- training examples