Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning.
Enrique Fita SanmartinSebastian DamrichFred A. HamprechtPublished in: NeurIPS (2019)
Keyphrases
- semi supervised learning
- segmentation algorithm
- image segmentation
- segmentation method
- semi supervised
- region growing
- unlabeled data
- labeled data
- multiscale
- supervised learning
- label propagation
- co training
- machine learning
- semi supervised classification
- semi supervised learning methods
- unsupervised learning
- active learning
- training data
- level set
- generative model
- multi view semi supervised learning
- probabilistic model
- manifold regularization
- labeled and unlabeled data
- learning algorithm
- object segmentation
- random sampling
- graph construction
- graph based semi supervised learning
- learning models
- bayesian networks
- object recognition
- image processing
- learning environment
- graph cuts
- transfer learning
- knowledge discovery
- text classification