Improving deep ensemble vehicle classification by using selected adversarial samples.
Wei LiuZhiming LuoShaozi LiPublished in: Knowl. Based Syst. (2018)
Keyphrases
- training set
- training samples
- classification accuracy
- classification method
- pattern recognition
- feature selection
- small samples
- feature space
- classification algorithm
- support vector
- machine learning
- cross validation
- neural network
- regression problems
- image classification
- classification scheme
- pattern classification
- multiple classifiers
- classification systems
- small sample
- data sets
- final classification
- ensemble classification
- unsupervised learning
- support vector machine
- feature vectors
- decision trees
- real time
- class labels
- cost sensitive
- pedestrian detection
- random forests
- benchmark datasets
- supervised learning
- classifier ensemble
- decision tree classifiers
- learning algorithm