The general theory of permutation equivarant neural networks and higher order graph variational encoders.
Erik Henning ThiedeTruong-Son HyRisi KondorPublished in: CoRR (2020)
Keyphrases
- general theory
- higher order
- neural network
- morphological operators
- high order
- mathematical theory
- natural images
- pattern recognition
- pairwise
- markov random field
- artificial neural networks
- optical flow
- artificial intelligence
- weighted graph
- image segmentation
- back propagation
- fuzzy logic
- mathematical morphology
- multiresolution
- connected graphs