Texture-based forest cover classification using random forests and ensemble margin.
Samia BoukirOlivier RegniersLi GuoLionel BombrunChristian GermainPublished in: IGARSS (2015)
Keyphrases
- random forests
- decision trees
- tree ensembles
- machine learning algorithms
- ensemble methods
- accurate classifiers
- random forest
- regression forests
- randomized trees
- support vector
- classification and regression trees
- regression problems
- logistic regression
- majority voting
- machine learning methods
- decision tree ensembles
- training set
- machine learning
- feature set
- classification accuracy
- benchmark datasets
- feature selection
- generalization ability
- ensemble learning
- feature extraction
- ensemble classifier
- classification algorithm
- training data
- feature vectors
- classification trees
- supervised learning
- head pose estimation
- base learners
- image classification
- naive bayes
- neural network