One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering.
Si-Guo FangDong HuangChang-Dong WangJian-Huang LaiPublished in: CoRR (2023)
Keyphrases
- graph cuts
- subspace clustering
- high dimensional data
- energy function
- energy minimization
- min cut
- shape prior
- clustering algorithm
- markov random field
- high dimensional
- globally optimal
- clustering method
- graph cut segmentation
- subspace clusters
- belief propagation
- interactive segmentation
- segmentation algorithm
- multi label
- object segmentation
- ordering constraints
- subspace projections
- high dimensionality
- graph model
- bipartite graph
- image segmentation
- graph cut optimization
- data analysis
- feature selection
- max flow
- similarity measure
- labeling problems
- foreground background segmentation
- image processing
- data sets