Quantum field theories, Markov random fields and machine learning.
Dimitrios BachtisGert AartsBiagio LuciniPublished in: CoRR (2021)
Keyphrases
- markov random field
- machine learning
- graph cuts
- higher order
- belief propagation
- random fields
- image segmentation
- maximum a posteriori
- image restoration
- mrf model
- parameter estimation
- energy function
- energy minimization
- potential functions
- text classification
- low level vision
- map estimation
- efficient inference
- pairwise
- potts model
- textured images
- loopy belief propagation
- markov networks
- feature selection
- map inference
- computer vision
- prior models
- model selection
- information extraction
- upper bound
- lower bound
- iterative conditional