Recognition of driving postures by combined features and random subspace ensemble of multilayer perceptron classifiers.
Chihang ZhaoBailing ZhangXiaozheng ZhangSanqiang ZhaoHanxi LiPublished in: Neural Comput. Appl. (2013)
Keyphrases
- multilayer perceptron
- random subspace
- random forest
- classifier fusion
- feature set
- ensemble methods
- multiple classifiers
- ensemble learning
- neural network
- fusion scheme
- majority voting
- feature extraction
- ensemble classifier
- random sampling
- classifier ensemble
- artificial neural networks
- training data
- svm classifier
- feature subspace
- weak classifiers
- nearest neighbor classifiers
- radial basis function
- random forests
- subspace methods
- feature subset
- feature selection
- back propagation
- feature vectors
- classification models
- recognition rate
- classification accuracy
- feature values
- class labels
- recognition accuracy
- support vector machine
- base learners
- feature representation
- feature space
- decision trees
- individual classifiers
- base classifiers
- personal identification
- data sets
- feature fusion
- learning algorithm
- cross validation
- training set