ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection.
Erik WallinLennart SvenssonFredrik KahlLars HammarstrandPublished in: CoRR (2024)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- supervised learning
- unsupervised learning
- learning problems
- manifold regularization
- training data
- semi supervised classification
- label propagation
- active learning
- co training
- machine learning
- generative model
- object detection
- semi supervised learning algorithms
- labeled and unlabeled data
- graph based semi supervised learning
- transfer learning
- learning models
- bayesian networks
- semi supervised learning methods
- low dimensional
- principal component analysis
- probabilistic model
- pattern recognition
- graph construction
- improve the classification accuracy
- data sets
- training set
- unlabeled samples
- data mining