Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization.
Jizong PengMarco PedersoliChristian DesrosiersPublished in: CoRR (2021)
Keyphrases
- mutual information
- semi supervised
- image segmentation
- feature selection
- kernel machines
- criterion function
- semi supervised learning
- information theoretic
- computer vision
- manifold regularization
- similarity measure
- markov random field
- partially labeled data
- labeled data
- mumford shah
- conditional mutual information
- information gain
- segmentation algorithm
- deformable models
- unlabeled data
- multiscale
- supervised learning
- image registration
- image processing
- pairwise
- image analysis
- medical image registration
- active contours
- kernel ridge regression
- early stopping
- information theoretic measures
- boosting framework
- semi supervised clustering
- unsupervised clustering
- co training
- multi view
- learning algorithm
- graph cuts
- pairwise constraints
- variational framework
- level set method
- multi class
- low rank
- region growing
- gradient boosting
- mean shift
- energy function
- mutual information maximization