ReVeS Participation - Tree Species Classification Using Random Forests and Botanical Features.
Guillaume CeruttiViolaine AntoineLaure TougneJulien MilleLionel ValetDidier CoquinAntoine VacavantPublished in: CLEF (Online Working Notes/Labs/Workshop) (2012)
Keyphrases
- random forests
- decision forest
- decision trees
- feature set
- random forest
- tree ensembles
- feature vectors
- feature extraction
- classification accuracy
- classification models
- regression trees
- feature space
- machine learning algorithms
- regression forests
- accurate classifiers
- classification trees
- logistic regression
- svm classifier
- ensemble methods
- machine learning
- regression problems
- benchmark datasets
- class labels
- randomized trees
- support vector machine
- classification and regression trees
- feature subset
- image features
- feature selection
- classification algorithm
- text classification
- image classification
- kernel function
- knn
- image processing
- decision tree ensembles