Random forest-based feature selection and detection method for drunk driving recognition.
Zhenlong LiHaoXin WangYaoWei ZhangXiaohua ZhaoPublished in: Int. J. Distributed Sens. Networks (2020)
Keyphrases
- detection method
- random forest
- feature set
- feature selection
- selected features
- feature extraction
- fold cross validation
- random forests
- detection algorithm
- recognition rate
- face detection
- decision trees
- feature importance
- region detection
- ensemble learning
- feature ranking
- object recognition
- ensemble classifier
- classification accuracy
- text classification
- decision tree learning algorithms
- ensemble methods
- unsupervised learning
- feature space
- feature subset
- multi class
- classification models
- text categorization
- feature vectors
- training data
- class labels
- data points