Optimal scale selection by integrating uncertainty and cost-sensitive learning in multi-scale decision tables.
Xueqiu ZhangQinghua ZhangYunlong ChengGuoyin WangPublished in: Int. J. Mach. Learn. Cybern. (2020)
Keyphrases
- scale selection
- multiscale
- cost sensitive learning
- decision table
- scale space
- multiple scales
- cost sensitive
- boundary detection
- image structure
- rough set theory
- class distribution
- image processing
- decision trees
- scale invariant
- decision rules
- misclassification costs
- rule extraction
- edge detection
- missing values
- rough sets
- class imbalance
- data sets
- classification error
- active learning
- image segmentation
- knowledge discovery