Convex Multi-class Image Labeling by Simplex-Constrained Total Variation (original) (raw)

Convex optimization for multi-class image labeling with a novel family of total variation based regularizers

Jan Lellmann

2009

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Second-order Cone Programming Methods for Total Variation-Based Image Restoration

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Parametric Maximum Flow Algorithms for Fast Total Variation Minimization

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Primal-dual algorithms for total variation based image restoration under Poisson noise

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Multi-Class Image Labeling with Top-Down Segmentation and Generalized Robust PNP^NPN Potentials

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On partial optimality in multi-label MRFs

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Monotone operator splitting for optimization problems in sparse recovery

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Multiple Convex Objects Image Segmentation via Proximal Alternating Direction Method of Multipliers

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Bilevel training schemes in imaging for total-variation-type functionals with convex integrands

Andreas Vikelis

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Optimal Weights in Convex Functionals: Taking the Guesswork Out of Segmentation

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Marc Pollefeys

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