Improving N-NEH+ algorithm by using Starting Point method.
Radoslaw PukaBartosz LamaszIwona SkalnaPublished in: FedCSIS (2022)
Keyphrases
- starting point
- high accuracy
- experimental evaluation
- optimization algorithm
- segmentation method
- dynamic programming
- k means
- significant improvement
- computational cost
- detection algorithm
- improved algorithm
- cost function
- estimation algorithm
- preprocessing
- detection method
- objective function
- single pass
- computationally efficient
- matching algorithm
- clustering method
- classification algorithm
- theoretical analysis
- convergence rate
- hybrid algorithm
- high efficiency
- experimental study
- computational efficiency
- synthetic and real images
- computational complexity
- segmentation algorithm
- initial solution
- recognition algorithm
- similarity measure
- energy function
- optimal solution
- reconstruction method
- probabilistic model
- tree structure
- support vector machine svm
- combinatorial optimization
- input data
- lead to significant improvements
- prior information
- optimization method
- region of interest
- selection algorithm
- simulated annealing
- search procedure
- metaheuristic
- np hard
- classification method
- neural network
- particle swarm optimization
- differential evolution
- support vector machine
- ant colony optimization
- initial population
- starting points
- mathematical model