Domain-based semi-supervised learning: exploiting label invariance in unlabeled data from distributed cameras.
Leonardo TaccariPublished in: ICCVW (2021)
Keyphrases
- semi supervised learning
- unlabeled data
- labeled data
- semi supervised
- label propagation
- class labels
- domain adaptation
- transfer learning
- semi supervised classification
- supervised learning
- co training
- labeled and unlabeled data
- labeled examples
- multi instance learning
- active learning
- unsupervised learning
- label information
- partially labeled
- manifold regularization
- machine learning
- semi supervised learning methods
- text categorization
- unlabeled instances
- training data
- number of labeled examples
- improve the classification accuracy
- labeled training data
- regularization framework
- unlabeled training data
- supervised learning algorithms
- training set
- training examples
- positive examples
- text classification
- instance selection
- semisupervised learning
- object recognition
- semi supervised clustering
- multi instance
- unlabeled examples
- pairwise constraints
- feature extraction
- learning algorithm
- data mining
- learning models
- cross domain