SSS-Net: A shadowed-sets-based semi-supervised sample selection network for classification on noise labeled images.
Kecan CaiHongyun ZhangWitold PedryczDuoqian MiaoPublished in: Knowl. Based Syst. (2023)
Keyphrases
- semi supervised
- sample selection
- active learning
- unlabeled samples
- pattern recognition
- supervised learning
- classification accuracy
- semi supervised classification
- decision trees
- semi supervised learning
- machine learning
- incremental learning
- support vector machine
- support vector
- labeled images
- image classification
- feature selection
- unsupervised learning
- svm classification
- feature extraction
- training samples
- class labels
- classification method
- training data
- support vector machine svm
- data sets
- labeled and unlabeled data
- training examples
- reinforcement learning
- labeled data
- text classification
- nearest neighbor
- training set