Local convergence of collinear scaling algorithms related to direct least-change secant update methods for minimization.
K. A. AriyawansaPublished in: Numer. Algorithms (1998)
Keyphrases
- benchmark datasets
- computational cost
- convergence analysis
- computationally expensive
- efficient optimization
- methods outperform
- algorithms require
- computationally intensive
- significant improvement
- optimization methods
- methods require
- synthetic and real datasets
- stochastic approximation
- search methods
- update rules
- methods can be applied
- quasi newton
- stopping criteria
- problems in computer vision
- data mining techniques
- global convergence
- high computational complexity
- synthetic and real data sets
- computationally demanding
- computer vision algorithms
- heuristic methods
- machine learning algorithms
- minimization problems
- preprocessing
- machine learning