An Algorithm for Simulation of Shelterwood Logging on the Forest Scale for the Global Forest Model (G4M).
Mykola GustiFulvio Di FulvioNicklas ForsellPublished in: CSIT (2) (2020)
Keyphrases
- mathematical model
- probabilistic model
- recognition algorithm
- cost function
- objective function
- detection algorithm
- algorithm employs
- analytical model
- estimation algorithm
- simulation model
- learning algorithm
- monte carlo simulation
- mathematical analysis
- simulation study
- closed form
- filtering algorithm
- algorithm has been developed
- optimization algorithm
- parameter estimation
- similarity measure
- dynamic programming
- computational cost
- theoretical analysis
- k means
- selection algorithm
- significant improvement
- kalman filter
- computational model
- preprocessing
- neural network
- multiple models
- final result
- computational complexity
- optimization model
- expectation maximization
- np hard
- bayesian framework
- input data
- prior information
- energy function
- em algorithm
- clustering method
- global motion
- bayesian networks
- multiscale
- simulation environment
- reconstruction method
- model free
- convergence rate
- linear programming
- linear model
- scale space