Neural Proximal Gradient Descent for Compressive Imaging.
Morteza MardaniQingyun SunDavid L. DonohoVardan PapyanHatef MonajemiShreyas VasanawalaJohn M. PaulyPublished in: NeurIPS (2018)
Keyphrases
- learning rules
- compressive sensing
- network architecture
- imaging systems
- image processing
- cost function
- image analysis
- neural network
- medical imaging
- loss function
- high resolution
- bio inspired
- objective function
- associative memory
- neural model
- mathematical modeling
- pairwise
- imaging process
- image segmentation
- optical coherence tomography
- hebbian learning
- neural fuzzy
- acquired images
- positron emission tomography
- biologically plausible
- light field
- data acquisition
- support vector
- computer vision