A Probabilistic Approach to Improve the Accuracy of Axle-Based Automatic Vehicle Classifiers.
Naim BitarHazem H. RefaiPublished in: IEEE Trans. Intell. Transp. Syst. (2017)
Keyphrases
- real time
- fold cross validation
- confusion matrix
- bayesian networks
- high accuracy
- classification accuracy
- computational cost
- fully automatic
- data driven
- higher classification accuracy
- support vector
- decision trees
- roc analysis
- individual classifiers
- accuracy rate
- predictive accuracy
- feature selection
- error rate
- naive bayes
- training examples
- detection rate
- detection algorithm
- generative model
- feature set
- probabilistic model
- feature vectors
- training data
- improving classification accuracy