Assessing the reliability of general-purpose Inexact Restoration methods.
Ernesto G. BirginLuis Felipe BuenoJosé Mario MartínezPublished in: J. Comput. Appl. Math. (2015)
Keyphrases
- general purpose
- machine learning methods
- database
- real world
- machine learning
- optimization methods
- multiscale
- data structure
- significant improvement
- computational cost
- programming language
- medical images
- computationally expensive
- benchmark datasets
- synthetic and real images
- search methods
- empirical studies
- model selection
- image processing
- knowledge base
- neural network