Generalization Bounds for Neural Belief Propagation Decoders.
Sudarshan AdigaXin XiaoRavi TandonBane VasicTamal BosePublished in: ISIT (2023)
Keyphrases
- belief propagation
- generalization bounds
- graphical models
- data dependent
- learning theory
- generalization ability
- markov random field
- model selection
- graph cuts
- stereo matching
- ranking algorithm
- linear classifiers
- learning problems
- neural network
- statistical learning theory
- vc dimension
- pairwise
- energy function
- energy minimization
- high quality
- higher order
- computer vision
- data sets
- dynamic programming
- image segmentation
- high resolution
- probabilistic model