Distributed Non-convex ADMM-based inference in large-scale random fields.
Ondrej MiksikVibhav VineetPatrick PérezPhilip H. S. TorrPublished in: BMVC (2014)
Keyphrases
- random fields
- markov random field
- maximum entropy
- convex optimization
- random field models
- gibbs sampler
- parameter estimation
- conditional random fields
- non stationary
- random field model
- pseudo likelihood
- probabilistic model
- alternating direction method of multipliers
- higher order
- image restoration
- convex relaxation
- partition function
- least squares
- hidden markov models
- bayesian networks
- markov fields
- similarity measure
- feature selection