Markovian Spatial Properties of a Random Field Describing a Stochastic Neural Network: Sequential of Parallel Implementation?
Thierry HervéOlivier FrançoisJacques DemongeotPublished in: EURASIP Workshop (1990)
Keyphrases
- parallel implementation
- random fields
- neural network
- stochastic processes
- markov processes
- markov random field
- point processes
- random field models
- maximum entropy
- parameter estimation
- non stationary
- conditional random fields
- probabilistic model
- random field model
- textured images
- parallel computers
- autoregressive
- parallel computation
- distributed memory
- mrf models
- parallel implementations
- marginal distributions
- gibbs sampler
- competitive learning
- potential functions
- markov chain
- machine learning