A Shape Consistency Measure for Improving the Generalized Hough Transform - Modified Voting Procedure for Discriminative Generalized Hough Transform based on Random Forest Confidence Measure.
Ferdinand HahmannGordon BöerEric GabrielCarsten MeyerHauke SchrammPublished in: VISAPP (2) (2015)
Keyphrases
- confidence measure
- random forest
- random forests
- decision trees
- confidence values
- confidence measures
- feature set
- voting scheme
- fold cross validation
- hough transform
- ensemble learning
- multi label
- feature importance
- base classifiers
- ensemble methods
- highly accurate
- data sets
- parameter space
- ensemble classifier
- semi supervised
- majority voting
- machine learning methods
- benchmark datasets
- high quality
- feature extraction
- image segmentation
- image processing
- learning algorithm