Pages that link to "Item:Q1703055"
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The following pages link to An effective region force for some variational models for learning and clustering (Q1703055):
Displaying 14 items.
- Convex variational methods on graphs for multiclass segmentation of high-dimensional data and point clouds (Q1702637) (← links)
- New region force for variational models in image segmentation and high dimensional data clustering (Q1707641) (← links)
- Variational community partition with novel network structure centrality prior (Q1985111) (← links)
- A multigrid algorithm for maxflow and min-cut problems with applications to multiphase image segmentation (Q2032045) (← links)
- Convex object(s) characterization and segmentation using level set function (Q2127274) (← links)
- Nonlocal regularized CNN for image segmentation (Q2198002) (← links)
- Semisupervised data classification via the Mumford-Shah-Potts-type model (Q2294163) (← links)
- Proximal gradient methods for general smooth graph total variation model in unsupervised learning (Q2674267) (← links)
- Compressive Sensing for Cut Improvement and Local Clustering (Q5027032) (← links)
- A compressed sensing based least squares approach to semi-supervised local cluster extraction (Q6158985) (← links)
- An efficient and versatile variational method for high-dimensional data classification (Q6604513) (← links)
- The Potts model with different piecewise constant representations and fast algorithms: a survey (Q6606497) (← links)
- The truncated variational model for image labeling and graph partitioning (Q6617214) (← links)
- Double-well net for image segmentation (Q6669799) (← links)
