New methods to improve convergence of sine fitting algorithms.
Manuel Fonseca da SilvaA. Cruz SerraPublished in: Comput. Stand. Interfaces (2003)
Keyphrases
- significant improvement
- benchmark datasets
- computational cost
- methods outperform
- methods require
- iterative algorithms
- noisy data
- image processing algorithms
- quasi newton
- convergence analysis
- synthetic and real data sets
- computer vision algorithms
- alternative methods
- optimization methods
- data structure
- synthetic and real datasets
- computationally expensive
- learning algorithm
- synthetic datasets
- convergence rate
- conjugate gradient
- problems in computer vision
- least squares
- machine learning algorithms
- worst case
- computationally efficient
- theoretical analysis
- high dimensional data
- theoretical guarantees
- algorithms require
- convergence speed
- linear algebra
- machine learning methods
- evaluation metrics