Box splines revisited: Convergence and acceleration methods for the subdivision and the cascade algorithms.
Carl de BoorAmos RonPublished in: J. Approx. Theory (2008)
Keyphrases
- computational cost
- methods outperform
- significant improvement
- computationally intensive
- computer vision algorithms
- data mining techniques
- benchmark datasets
- computationally expensive
- optimization methods
- computationally demanding
- computationally complex
- methods require
- convergence analysis
- iterative algorithms
- synthetic and real datasets
- machine learning algorithms
- synthetic and real data sets
- computationally efficient
- quasi newton
- stopping criteria
- alternative methods
- high computational complexity
- computer vision
- noisy data
- lower bound
- data structure