On Improving Approximate Results of Buchberger's Algorithm by Newton's Method.
Wolfgang TrinksPublished in: European Conference on Computer Algebra (2) (1985)
Keyphrases
- cost function
- improved algorithm
- computational cost
- objective function
- computational complexity
- preprocessing
- dynamic programming
- experimental evaluation
- high accuracy
- clustering method
- detection algorithm
- computationally efficient
- detection method
- significant improvement
- optimization algorithm
- synthetic and real images
- single pass
- high efficiency
- estimation algorithm
- convergence rate
- recognition algorithm
- theoretical analysis
- computational efficiency
- classification algorithm
- input data
- similarity measure
- optimization method
- selection algorithm
- experimental study
- segmentation method
- support vector machine svm
- em algorithm
- k means
- tree structure
- noisy data
- energy function
- matching algorithm
- classification method
- newton method
- region of interest
- segmentation algorithm
- decomposition method
- probabilistic model
- mathematical model
- np hard
- expectation maximization
- prior information
- learning algorithm
- simulated annealing
- exact solution
- reconstruction method
- pairwise
- levenberg marquardt
- gauss newton
- lead to significant improvements