Active Learning for Segmentation Based on Bayesian Sample Queries.
Firat ÖzdemirZixuan PengPhilipp FürnstahlChristine TannerOrcun GokselPublished in: CoRR (2019)
Keyphrases
- active learning
- query processing
- sample selection
- segmentation algorithm
- query language
- segmentation method
- image segmentation
- query evaluation
- web search engines
- database
- minimum description length
- response time
- multiscale
- level set
- medical images
- posterior probability
- range queries
- shape prior
- semi supervised
- data sources
- database queries
- segmentation accuracy
- bayesian estimation
- object segmentation
- random sampling
- region growing
- complex queries
- index structure
- user queries
- energy function
- learning strategies
- maximum likelihood
- learning algorithm
- query logs
- multi dimensional
- supervised learning
- image analysis
- image retrieval
- training set
- bayesian networks
- database systems
- selective sampling