Classification of driver fatigue expressions by combined curvelet features and gabor features, and random subspace ensembles of support vector machines.
Chihang ZhaoJie LianQian DangCan TongPublished in: J. Intell. Fuzzy Syst. (2014)
Keyphrases
- support vector
- gabor features
- classification accuracy
- svm classifier
- feature vectors
- gabor filters
- feature set
- feature extraction
- feature selection
- feature analysis
- support vector machine
- classification models
- decision trees
- ensemble methods
- feature space
- generalization ability
- feature subset
- kernel function
- linear discriminant analysis
- cross validation
- classifier fusion
- training set
- benchmark datasets
- pattern recognition
- image classification
- face recognition
- binary classification
- ensemble learning
- class labels
- feature subspace
- machine learning
- classifier ensemble
- feature selection algorithms
- classification algorithm
- loss function
- multiscale
- base classifiers
- training data
- ensemble classifier
- base learners
- image processing
- subspace methods
- texture features
- text classification