Combining Dimensionality Reduction with Random Forests for Multi-label Classification Under Interactivity Constraints.
Noureddine Yassine Nair BenrekiaPascale KuntzFrank MeyerPublished in: PAKDD (2) (2017)
Keyphrases
- random forests
- multi label classification
- multi label
- random forest
- dimensionality reduction
- ensemble methods
- decision trees
- logistic regression
- machine learning algorithms
- text categorization
- binary classification
- image annotation
- image classification
- graph cuts
- high dimensional data
- high dimensional
- multi class
- low dimensional
- semi supervised learning
- pattern recognition
- classification algorithm
- principal components
- semi supervised
- feature vectors
- principal component analysis
- benchmark datasets
- image processing
- neural network
- binary classifiers
- computer vision