A framework and a mean-field algorithm for the local control of spatial processes.
Régis SabbadinNathalie PeyrardNicklas ForsellPublished in: Int. J. Approx. Reason. (2012)
Keyphrases
- linear complexity
- optimization algorithm
- cost function
- spatial constraints
- dynamic programming
- learning algorithm
- np hard
- computational complexity
- similarity measure
- optimal solution
- computational cost
- spatial information
- preprocessing
- probabilistic model
- recognition algorithm
- bayesian framework
- clustering method
- neural network
- monte carlo
- mathematical model
- energy function
- search space
- objective function
- expectation maximization
- control system