Results 11 to 20 of about 41,026 (224)
Incremental Reduced Lagrangian Asymmetric ν-Twin Support Vector Regression [PDF]
Jisuanji kexue yu tansuo, 2023 Lagrangian asymmetric ν-twin support vector regression is a prediction algorithm with good generalization performance. However, it is unsuitable for the scenarios where the samples are provided incrementally.
ZHANG Shuaixin, GU Binjie, PAN Feng
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Lagrange optimality system for a class of nonsmooth convex optimization [PDF]
, 2015 In this paper, we revisit the augmented Lagrangian method for a class of nonsmooth convex optimization. We present the Lagrange optimality system of the augmented Lagrangian associated with the problems, and establish its connections with the standard ...
Jin, Bangti, Takeuchi, Tomoya
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Discrete Dynamics in Nature and Society, 2017 We propose a new method for equality constrained optimization based on augmented Lagrangian method. We construct an unconstrained subproblem by adding an adaptive quadratic term to the quadratic model of augmented Lagrangian function.
Hao Zhang, Qin Ni
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Combining Deep Image Prior and Second-Order Generalized Total Variance for Image Denoising
IEEE Access, 2023 Deep image prior is a classical unsupervised deep learning method that does not require plenty of training samples, because in some practical applications, like medical imaging, collecting tons of training samples is not always viable.
Jianlou Xu +3 more
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The Variable Projected Augmented Lagrangian Method
, 2022 26 pages, 15 ...
Chung, Matthias, Renaut, Rosemary
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Parallel MR Image Reconstruction Using Augmented Lagrangian Methods [PDF]
IEEE Transactions on Medical Imaging, 2011 Magnetic resonance image (MRI) reconstruction using SENSitivity Encoding (SENSE) requires regularization to suppress noise and aliasing effects. Edge-preserving and sparsity-based regularization criteria can improve image quality, but they demand computation-intensive nonlinear optimization.
Ramani, Sathish, Fessler, Jeffrey A.
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Journal of Applied Mathematics, 2013 The augmented Lagrangian method can be used for solving recourse problems and obtaining their normal solution in solving two-stage stochastic linear programming problems.
Saeed Ketabchi, Malihe Behboodi-Kahoo
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Edge detection based on augmented lagrangian method for lowquality medical images
Ho Chi Minh City Open University Journal of Science - Engineering and Technology, 2018 Medical images are useful for the treatment process. They contain a lot of information on displaying abnormalities in your body. The contour of medical images is a matter of interest.
Vo Thi Hong Tuyet
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Alexandria Engineering Journal, 2022 The maintenance of power system equipment, specifically, the maintenance of generating units, is implicitly related to the reliability and economic operation of the power system.
M.R. Qader
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A Distributed Asynchronous Method of Multipliers for Constrained Nonconvex Optimization [PDF]
, 2018 This paper presents a fully asynchronous and distributed approach for tackling optimization problems in which both the objective function and the constraints may be nonconvex.
Farina, Francesco +3 more
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