S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification.
Yang YangZhen-Qiang SunHui XiongJian YangPublished in: CoRR (2020)
Keyphrases
- semi supervised
- supervised learning
- semi supervised learning algorithms
- classification scheme
- semi supervised classification
- classification accuracy
- semi supervised learning
- classification method
- feature vectors
- pattern recognition
- classification systems
- automatic classification
- incremental learning
- support vector
- training set
- co training
- training data
- classification models
- pattern classification
- classification algorithm
- decision trees
- svm classifier
- unsupervised learning
- subspace learning
- labeled and unlabeled data
- classification process
- cross validation
- partial least squares
- decision rules
- support vector machine svm
- labeled data
- text classification
- feature space
- similarity measure