Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks.
Denis Deratani MauáHeitor Ribeiro ReisGustavo Perez KatagueAlessandro AntonucciPublished in: PGM (2020)
Keyphrases
- maximum a posteriori
- markov random field
- sum product
- maximum likelihood
- image reconstruction
- map estimation
- hyperparameters
- bayesian framework
- em algorithm
- posterior distribution
- parameter estimation
- energy function
- pairwise
- computer vision
- expectation maximization
- belief propagation
- markov chain
- probability distribution
- posterior probability
- bayesian inference
- lower bound
- bayesian networks
- image segmentation