Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection.
Andrey KuehlkampAllan da Silva PintoAnderson RochaKevin W. BowyerAdam CzajkaPublished in: CoRR (2018)
Keyphrases
- cross domain
- multi view learning
- attack detection
- transfer learning
- co training
- training data
- multistage
- multi view
- labeled data
- knowledge transfer
- training set
- unlabeled data
- text categorization
- sentiment classification
- semi supervised learning
- feature selection
- machine learning algorithms
- learning algorithm
- unlabeled samples
- intrusion detection system
- naive bayes
- active learning
- learning tasks
- multi task learning
- ensemble methods
- text classification
- training samples
- labeled and unlabeled data
- support vector
- training examples
- labeled training data
- supervised learning
- semi supervised
- random forest
- feature set
- machine learning
- decision trees
- classification algorithm
- base classifiers
- reinforcement learning
- multiple features
- text mining
- collaborative filtering
- high dimensional
- feature space
- feature extraction
- target domain
- support vector machine
- multi task