Graph-without-cut: An Ideal Graph Learning for Image Segmentation.
Lianli GaoJingkuan SongFeiping NieFuhao ZouNicu SebeHeng Tao ShenPublished in: AAAI (2016)
Keyphrases
- image segmentation
- learning process
- learning algorithm
- graph theory
- random walk
- directed graph
- graph theoretic
- graph matching
- knowledge acquisition
- bipartite graph
- graph model
- supervised learning
- prior knowledge
- normalized cut
- learning tasks
- fully connected
- graph structure
- graph partitioning
- connected components
- structured data
- mobile learning
- learning systems
- unsupervised learning
- graph databases
- markov random field
- reinforcement learning
- computer vision
- machine learning