Pages that link to "Item:Q1702637"
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The following pages link to Convex variational methods on graphs for multiclass segmentation of high-dimensional data and point clouds (Q1702637):
Displaying 11 items.
- Global binary optimization on graphs for classification of high-dimensional data (Q890097) (← links)
- Auction dynamics: a volume constrained MBO scheme (Q1700735) (← links)
- An effective region force for some variational models for learning and clustering (Q1703055) (← links)
- Multi-class transductive learning based on \(\ell^1\) relaxations of Cheeger cut and Mumford-Shah-Potts model (Q2251265) (← links)
- Diffuse interface methods for multiclass segmentation of high-dimensional data (Q2349239) (← links)
- Comparisons of different methods for balanced data classification under the discrete non-local total variational framework (Q2668555) (← links)
- A Graph Framework for Manifold-Valued Data (Q4686918) (← links)
- Mass-conserving diffusion-based dynamics on graphs (Q5056773) (← links)
- Joint Reconstruction-Segmentation on Graphs (Q6113269) (← links)
- Lifting-based variational multiclass segmentation algorithm: design, convergence analysis, and implementation with applications in medical imaging (Q6126008) (← links)
- An efficient and versatile variational method for high-dimensional data classification (Q6604513) (← links)
