Semi-supervised Learning for COVID-19 Image Classification via ResNet.
Lucy NwusoXiangfang LiLijun QianSeungchan KimXishuang DongPublished in: CoRR (2021)
Keyphrases
- semi supervised learning
- image classification
- semi supervised
- labeled data
- unlabeled data
- feature extraction
- image representation
- unsupervised learning
- bag of words
- supervised learning
- semi supervised classification
- machine learning
- co training
- training data
- sparse representation
- text categorization
- image features
- improve the classification accuracy
- multi label
- manifold regularization
- learning models
- label propagation
- visual words
- active learning
- semi supervised learning methods
- semi supervised learning algorithms
- prior knowledge
- data mining
- transfer learning
- graph transduction
- dimensionality reduction
- labeled and unlabeled data
- metric learning
- sparse coding
- e learning
- graph construction
- regularization framework
- image segmentation
- graph based semi supervised learning
- pattern recognition