Testing the limits of non-adjacent dependency learning: Statistical segmentation and generalization across domains.
Rebecca FrostErin IsbilenMorten H. ChristiansenPadraic MonaghanPublished in: CogSci (2019)
Keyphrases
- learning algorithm
- learning process
- reinforcement learning
- computer vision
- real world
- prior knowledge
- supervised learning
- region growing
- learning systems
- explanation based generalization
- data sets
- learning phase
- inductive inference
- object segmentation
- background knowledge
- unsupervised learning
- knowledge acquisition
- medical images
- probabilistic model
- multiscale
- image segmentation
- neural network