A meta-learning approach for selecting image segmentation algorithm.
Gabriel Jonas AguiarRafael Gomes MantovaniSaulo Martiello MasteliniAndré C. P. L. F. de CarvalhoGabriel F. C. CamposSylvio Barbon JuniorPublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- meta learning
- image segmentation algorithm
- image segmentation
- inductive learning
- learning tasks
- mean shift
- region growing
- segmentation algorithm
- segmented images
- model selection
- machine learning algorithms
- decision trees
- machine learning
- data mining
- computer vision
- metamodel
- feature maps
- object recognition
- training data
- face recognition
- base classifiers
- feature selection