An approach to one-bit compressed sensing based on probably approximately correct learning theory.
Mehmet Eren AhsenMathukumalli VidyasagarPublished in: CDC (2015)
Keyphrases
- learning theory
- compressed sensing
- pac learning
- concept class
- concept classes
- image reconstruction
- computational learning theory
- random projections
- sparse representation
- natural images
- random sampling
- signal processing
- pac model
- fourier domain
- pattern recognition
- target concept
- statistical queries
- learning algorithm
- multiscale
- similarity measure
- image processing
- computer vision
- data sets