Algorithm and separating method for the optimisation of quadratic functions.
Amel BelabbaciBachir DjebbarPublished in: Int. J. Comput. Sci. Math. (2017)
Keyphrases
- experimental evaluation
- clustering method
- high accuracy
- cost function
- optimization algorithm
- computational cost
- detection algorithm
- significant improvement
- dynamic programming
- objective function
- k means
- preprocessing
- segmentation algorithm
- improved algorithm
- classification algorithm
- synthetic and real images
- computational complexity
- detection method
- computationally efficient
- experimental study
- high efficiency
- single pass
- recognition algorithm
- noisy data
- mathematical model
- input data
- estimation algorithm
- mapping function
- selection algorithm
- theoretical analysis
- exhaustive search
- prior information
- tree structure
- computational efficiency
- similarity measure
- optimization method
- computational speed
- search space
- probabilistic model
- segmentation method
- energy function
- learning algorithm
- parameter estimation
- convergence rate
- classification method
- decomposition method
- np hard
- em algorithm
- support vector machine svm
- combinatorial optimization
- matching algorithm
- region of interest
- test images
- kalman filter
- path planning
- image matching
- hybrid algorithm
- ant colony optimization
- simulated annealing
- reconstruction method
- optimal solution
- global optimisation