Pages that link to "Item:Q3113848"
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The following pages link to Continuous Multiclass Labeling Approaches and Algorithms (Q3113848):
Displaying 35 items.
- Image segmentation based on the hybrid total variation model and the \(K\)-means clustering strategy (Q326420) (← links)
- Multicuts and perturb \& MAP for probabilistic graph clustering (Q334274) (← links)
- Coupling image restoration and segmentation: a generalized linear model/Bregman perspective (Q361280) (← links)
- Recent advances of variational models in medical imaging and applications to computer aided surgery (Q376832) (← links)
- Variational image segmentation models involving non-smooth data-fidelity terms (Q474902) (← links)
- Multilabel classifiers with a probabilistic thresholding strategy (Q645916) (← links)
- Inverse scale space iterations for non-convex variational problems using functional lifting (Q826175) (← links)
- Globally optimal joint image segmentation and shape matching based on Wasserstein modes (Q890098) (← links)
- Image labeling by assignment (Q1702593) (← links)
- Completely convex formulation of the Chan-Vese image segmentation model (Q1931580) (← links)
- Effective two-stage image segmentation: a new non-Lipschitz decomposition approach with convergent algorithm (Q2031758) (← links)
- Iterative Potts minimization for the recovery of signals with discontinuities from indirect measurements: the multivariate case (Q2040452) (← links)
- Iterative multiplicative filters for data labeling (Q2193779) (← links)
- Optimality bounds for a variational relaxation of the image partitioning problem (Q2251197) (← links)
- Convex relaxation of a class of vertex penalizing functionals (Q2251199) (← links)
- Multi-class transductive learning based on \(\ell^1\) relaxations of Cheeger cut and Mumford-Shah-Potts model (Q2251265) (← links)
- Discrete and continuous models for partitioning problems (Q2254249) (← links)
- Piecewise-smooth image segmentation models with \(L^1\) data-fidelity terms (Q2356611) (← links)
- Modelling convex shape priors and matching based on the Gromov-Wasserstein distance (Q2513328) (← links)
- Convex multiclass segmentation with shearlet regularization (Q2868156) (← links)
- Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts (Q3300302) (← links)
- Lifting Methods for Manifold-Valued Variational Problems (Q3300534) (← links)
- Assignment Flows (Q3300540) (← links)
- Convex Regularization of Discrete-Valued Inverse Problems (Q4554171) (← links)
- Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization (Q4689645) (← links)
- Shearlets: Theory and Applications (Q4982278) (← links)
- Continuous-domain assignment flows (Q5014843) (← links)
- Consistent procedures for multiclass classification of discrete diffusion paths (Q5118468) (← links)
- Linkage Between Piecewise Constant Mumford--Shah Model and Rudin--Osher--Fatemi Model and Its Virtue in Image Segmentation (Q5204006) (← links)
- An introduction to continuous optimization for imaging (Q5740077) (← links)
- On the coupled continuous knapsack problems: projection onto the volume constrained Gibbs \(N\)-simplex (Q5963696) (← links)
- Inverse scale space iterations for non-convex variational problems: the continuous and discrete case (Q6155450) (← links)
- Graphmax for text generation (Q6535428) (← links)
- An efficient and versatile variational method for high-dimensional data classification (Q6604513) (← links)
- An overview of SaT segmentation methodology and its applications in image processing (Q6606484) (← links)
