Structured class-labels in random forests for semantic image labelling.
Peter KontschiederSamuel Rota BulòHorst BischofMarcello PelilloPublished in: ICCV (2011)
Keyphrases
- random forests
- class labels
- image content
- image features
- input image
- ensemble methods
- logistic regression
- decision trees
- random forest
- training data
- image classification
- database
- training examples
- machine learning algorithms
- supervised learning
- multi label
- high dimensional
- active learning
- base classifiers
- image segmentation