Evidential combination of SVM road obstacle classifiers in visible and far infrared images.
Bassem BesbesSonda AmmarYousri KessentiniAlexandrina RogozanAbdelaziz BensrhairPublished in: Intelligent Vehicles Symposium (2011)
Keyphrases
- support vector
- svm classifier
- training data
- support vector machine
- support vector machine classifiers
- training set
- support vector machine svm
- feature selection
- decision boundary
- classification algorithm
- improves the classification accuracy
- text classifiers
- classifier combination
- classification method
- svm classification
- linear classifiers
- mobile robot
- kernel function
- hyperplane
- rbf kernel
- small sample
- knn
- classification decisions
- machine learning
- bayes classifier
- linear svm
- majority voting
- multi class
- multiple kernel learning
- combining multiple
- classifier training
- multiple classifier systems
- decision function
- linear support vector machines
- high classification accuracy
- combining classifiers
- rule based classifier
- feature set
- fold cross validation
- feature ranking
- support vectors
- text classification
- feature vectors
- machine learning algorithms
- training samples
- sequential forward selection
- train a support vector machine
- unbalanced data
- text categorization
- decision trees
- highest accuracy
- training set size
- logistic regression
- road network
- generalization ability
- multi class classification