Efficient SAV Algorithms for Curvature Minimization Problems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3217586
Abstract: The curvature regularization method is well-known for its good geometric interpretability and strong priors in the continuity of edges, which has been applied to various image processing tasks. However, due to the non-convex, non-smooth, and… read more here.
Keywords: curvature minimization; efficient sav; minimization problems; curvature ... See more keywords
Strong convergence of an inertial extrapolation method for a split system of minimization problems
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DOI: 10.1515/dema-2020-0025
Abstract: In this article, we propose an inertial extrapolation-type algorithm for solving split system of minimization problems: finding a common minimizer point of a finite family of proper, lower semicontinuous convex functions and whose image under… read more here.
Keywords: split system; system minimization; strong convergence; minimization problems ... See more keywords
An Algorithm for Solving Common Points of Convex Minimization Problems with Applications
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DOI: 10.3390/sym15010007
Abstract: In algorithm development, symmetry plays a vital part in managing optimization problems in scientific models. The aim of this work is to propose a new accelerated method for finding a common point of convex minimization… read more here.
Keywords: common points; algorithm solving; solving common; minimization problems ... See more keywords