TCP-RBA: Semi-supervised learning for traditional chinese painting classification with random brushwork augment.
Yahui DingHongjuan WangNan LiuTong LiPublished in: J. Intell. Fuzzy Syst. (2024)
Keyphrases
- semi supervised learning
- supervised learning
- semi supervised classification
- improve the classification accuracy
- semi supervised
- co training
- unsupervised learning
- unlabeled data
- labeled data
- transductive support vector machine
- uci datasets
- semi supervised learning algorithms
- labeled and unlabeled data
- machine learning
- unlabeled samples
- learning problems
- labeled examples
- supervised learning algorithms
- manifold regularization
- class labels
- text classification
- label propagation
- classification accuracy
- active learning
- supervised classification
- training set
- domain adaptation
- support vector machine
- instance selection
- feature selection
- training data
- support vector
- text categorization
- machine learning algorithms
- labeled instances
- decision trees
- graph based semi supervised learning
- feature set
- learning models
- transfer learning
- feature extraction
- face recognition
- semi supervised learning methods
- training examples