Introducing Geometry in Active Learning for Image Segmentation.
Ksenia KonyushkovaRaphael SznitmanPascal FuaPublished in: CoRR (2015)
Keyphrases
- active learning
- image segmentation
- multiscale
- computer vision
- selective sampling
- three dimensional
- experimental design
- level set method
- boundary detection
- learning strategies
- markov random field
- graph cuts
- texture segmentation
- image processing
- learning algorithm
- object segmentation
- semi supervised
- active contours
- machine learning
- region segmentation
- image analysis
- contour detection
- relevance feedback
- unsupervised image segmentation
- region growing
- markov random field model
- deformable models
- segmentation method
- random sampling
- learning process
- level set
- probabilistic relaxation
- crowd sourced
- active learning strategies
- method for image segmentation
- pool based active learning
- graph partitioning
- geometric constraints
- cost sensitive
- fuzzy c means
- spectral clustering
- medical imaging
- energy function
- segmentation algorithm
- supervised learning
- decision trees