Random forest feature selection approach for image segmentation.
László LefkovitsSzidónia LefkovitsSimina EmerichMircea-Florin VaidaPublished in: ICMV (2016)
Keyphrases
- random forest
- image segmentation
- feature selection
- feature set
- selected features
- fold cross validation
- feature reduction
- cancer classification
- random forests
- decision trees
- feature ranking
- feature importance
- multi label
- graph cuts
- ensemble learning
- ensemble methods
- markov random field
- text categorization
- feature selection algorithms
- image processing
- machine learning
- ensemble classifier
- naive bayes
- multi class
- classification accuracy
- computer vision
- text classification
- feature space
- feature extraction
- rotation forest
- base classifiers
- class labels
- data sets
- support vector machine
- support vector
- feature subset
- classification models
- dimensionality reduction
- decision tree learning algorithms