Quantitative Evaluation of Salient Deep Neural Network Features Using Random Forests.
Aditya TewariFangsheng GuFrederic GrandidierDidier StrickerPublished in: IVMSP (2018)
Keyphrases
- quantitative evaluation
- random forests
- neural network
- random forest
- ground truth
- logistic regression
- feature set
- machine learning algorithms
- feature vectors
- feature extraction
- classification and regression trees
- quality assessment
- prediction accuracy
- tree ensembles
- qualitative evaluation
- ensemble methods
- graph cuts
- artificial neural networks
- support vector
- machine learning