Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning.
Enrique Fita SanmartinSebastian DamrichFred A. HamprechtPublished in: CoRR (2019)
Keyphrases
- semi supervised learning
- segmentation algorithm
- image segmentation
- semi supervised
- segmentation method
- region growing
- unlabeled data
- labeled data
- multiscale
- supervised learning
- semi supervised classification
- level set
- machine learning
- unsupervised learning
- active learning
- co training
- semi supervised learning algorithms
- label propagation
- generative model
- semi supervised learning methods
- domain adaptation
- graph cuts
- transfer learning
- object segmentation
- multi view semi supervised learning
- graph based semi supervised learning
- sample size
- energy function
- active contours
- probabilistic model
- training data
- random sampling
- labeled and unlabeled data
- graph construction
- multi view learning
- model selection
- bayesian networks
- opinion detection