A Method to Accelerate the Convergence of the Secant Algorithm.
Marco J. P. NijmeijerPublished in: Adv. Numer. Anal. (2014)
Keyphrases
- high accuracy
- cost function
- theoretical analysis
- preprocessing
- detection algorithm
- improved algorithm
- dynamic programming
- recognition algorithm
- significant improvement
- detection method
- experimental evaluation
- input data
- segmentation algorithm
- computational efficiency
- optimization algorithm
- computational cost
- single pass
- classification algorithm
- k means
- synthetic and real images
- clustering method
- convergence rate
- support vector machine svm
- objective function
- exhaustive search
- segmentation method
- matching algorithm
- estimation algorithm
- similarity measure
- computational complexity
- high efficiency
- computationally efficient
- optimization method
- hybrid algorithm
- prior information
- parameter estimation
- mathematical model
- tree structure
- mapping function
- noisy data
- neural network
- selection algorithm
- combinatorial optimization
- decomposition method
- knn
- heuristic rules
- computational speed
- reconstruction method
- energy function
- image matching
- classification method
- experimental study
- probabilistic model
- optimal solution
- learning algorithm
- optimal path
- particle swarm optimization
- lower bound