Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection.
Andrey KuehlkampAllan da Silva PintoAnderson RochaKevin W. BowyerAdam CzajkaPublished in: IEEE Trans. Inf. Forensics Secur. (2019)
Keyphrases
- cross domain
- multi view learning
- attack detection
- transfer learning
- co training
- training data
- multistage
- training set
- unlabeled data
- knowledge transfer
- multi view
- intrusion detection system
- semi supervised learning
- machine learning algorithms
- labeled data
- text categorization
- sentiment classification
- unlabeled samples
- target domain
- learning algorithm
- feature selection
- decision trees
- semi supervised
- support vector
- multi task learning
- labeled and unlabeled data
- labeled training data
- ensemble methods
- training examples
- active learning
- naive bayes
- intrusion detection
- learning tasks
- base classifiers
- text classification
- data sets
- multiple features
- machine learning
- collaborative filtering
- class labels
- classification algorithm
- multi task
- feature set
- e government
- unsupervised learning
- training samples
- test data