Algorithm of Competing Processes for the Richardson Iteration Method with the Chebyshev Parameters.
Mikhail V. PopovYuriy A. PoveschenkoIgor V. PopovVladimir A. GasilovAlexander V. KoldobaPublished in: NAA (2016)
Keyphrases
- cost function
- preprocessing
- improved algorithm
- objective function
- computational cost
- theoretical analysis
- experimental evaluation
- detection method
- significant improvement
- parameter settings
- detection algorithm
- high accuracy
- optimal parameters
- synthetic and real images
- segmentation method
- dynamic programming
- parameter tuning
- input data
- convergence rate
- optimization algorithm
- optimization method
- parameter selection
- nonlinear functions
- computational complexity
- clustering method
- matching algorithm
- computationally efficient
- segmentation algorithm
- expectation maximization
- selection algorithm
- parameter estimation
- initial values
- parameters estimation
- newton raphson
- recognition algorithm
- learning algorithm
- weight vector
- classification algorithm
- levenberg marquardt
- fine tuning
- iterative algorithms
- global motion
- similarity measure
- classification method
- energy function
- tree structure
- prior information
- search space
- k means
- probabilistic model
- iterative process
- em algorithm
- support vector machine svm
- window size
- reconstruction method
- control parameters
- estimation algorithm
- genetic algorithm
- particle swarm optimization
- regularization parameter
- np hard
- line search
- density function
- optimal solution
- parameter space
- number of iterations required