Semi-Supervised Learning for Grain Size Distribution Interpolation.
Konstantin KobsChristian SchäferMichael SteiningerAnna KrauseRoland BaumhauerHeiko PaethAndreas HothoPublished in: ICPR Workshops (6) (2020)
Keyphrases
- semi supervised learning
- grain size
- spatial distribution
- semi supervised
- unlabeled data
- labeled data
- supervised learning
- semi supervised classification
- machine learning
- unsupervised learning
- training data
- active learning
- spatial information
- learning problems
- co training
- manifold regularization
- graph based semi supervised learning
- learning models
- label propagation
- thin film
- regularization framework
- improve the classification accuracy
- semi supervised learning algorithms
- labeled and unlabeled data
- learning algorithm
- neural network
- decision boundary
- image reconstruction
- graph construction
- prior knowledge