Dimension-reduced KRnet maps for high-dimensional inverse problems.
Yani FengKejun TangXiaoliang WanQifeng LiaoPublished in: CoRR (2023)
Keyphrases
- inverse problems
- high dimensional
- image reconstruction
- global optimization
- convex optimization
- parameter space
- optimization problems
- optimization methods
- emission tomography
- partial differential equations
- low dimensional
- high dimensional data
- early vision
- dimensionality reduction
- super resolution
- feature space
- smoothness constraint
- computer vision
- higher order
- pairwise
- object recognition