On improving approximate results of Buchberger's algorithm by Newton's method.
Wolfgang TrinksPublished in: SIGSAM Bull. (1984)
Keyphrases
- improved algorithm
- preprocessing
- high accuracy
- dynamic programming
- computational cost
- cost function
- optimization algorithm
- detection algorithm
- detection method
- computational complexity
- significant improvement
- theoretical analysis
- experimental evaluation
- single pass
- objective function
- optimization method
- clustering method
- recognition algorithm
- input data
- selection algorithm
- segmentation algorithm
- synthetic and real images
- noisy data
- tree structure
- estimation algorithm
- energy function
- segmentation method
- classification method
- high efficiency
- computational efficiency
- k means
- experimental study
- matching algorithm
- prior information
- support vector machine svm
- reconstruction method
- convergence rate
- decomposition method
- similarity measure
- mathematical model
- pairwise
- learning algorithm
- support vector machine
- probabilistic model
- optimal solution
- levenberg marquardt
- approximate matching
- lead to significant improvements
- test images
- classification algorithm
- particle swarm optimization
- linear programming
- simulated annealing
- negative matrix factorization
- newton method