A modified bees algorithm and a statistics-based method for tuning its parameters.
Q. Tuan PhamDuc Truong PhamMarco CastellaniPublished in: J. Syst. Control. Eng. (2012)
Keyphrases
- parameter settings
- cost function
- dynamic programming
- high accuracy
- significant improvement
- preprocessing
- clustering method
- computational cost
- parameter tuning
- detection algorithm
- fine tuning
- input data
- experimental evaluation
- objective function
- recognition algorithm
- parameter estimation
- improved algorithm
- theoretical analysis
- parameter selection
- detection method
- weighting factor
- classification algorithm
- optimal parameters
- computational complexity
- optimization method
- control parameters
- image statistics
- segmentation algorithm
- convergence rate
- expectation maximization
- estimation algorithm
- optimization algorithm
- levenberg marquardt
- recursive least squares
- learning algorithm
- synthetic and real images
- similarity measure
- matching algorithm
- tree structure
- segmentation method
- em algorithm
- support vector machine svm
- prior information
- initial values
- k means
- reconstruction method
- classification method
- parameter space
- combinatorial optimization
- maximum likelihood estimation
- model selection
- energy function
- window size
- simulated annealing
- calibration method
- edge detection
- graph cuts
- weight vector
- support vector machine
- multi objective
- search space
- initial estimates