Výsledky vyhľadávania - "Alternating minimization algorithm"

Metalearning-Based Alternating Minimization Algorithm for Nonconvex Optimization Autor Xia, Jing-Yuan, Li, Shengxi, Huang, Jun-Jie, Yang, Zhixiong, Jaimoukha, Imad M., Gunduz, Deniz

“…In this article, we propose a novel solution for nonconvex problems of multiple variables, especially for those typically solved by an alternating minimization…”
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Alternating minimization algorithm for unlabeled sensing and linked linear regression Autor Abbasi, Ahmed Ali, Aeron, Shuchin, Tasissa, Abiy

“…Unlabeled sensing is a linear inverse problem with permuted measurements. We propose an alternating minimization (AltMin) algorithm with a suitable…”
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A New Alternating Minimization Algorithm for Total Variation Image Reconstruction Autor Wang, Yilun, Yang, Junfeng, Yin, Wotao, Zhang, Yin

“…We propose, analyze, and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization…”
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k-Vectors: An Alternating Minimization Algorithm for Learning Regression Functions Autor Weinberger, Nir, Feder, Meir

“…The <inline-formula> <tex-math notation="LaTeX">k </tex-math></inline-formula>-vectors algorithm for learning regression functions proposed here is akin to the…”
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Newton-Type Alternating Minimization Algorithm for Convex Optimization Autor Stella, Lorenzo, Themelis, Andreas, Patrinos, Panagiotis

“…We propose a Newton-type alternating minimization algorithm (NAMA) for solving structured nonsmooth convex optimization problems where the sum of two functions…”
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A new level set method with global alternating minimization algorithm for image segmentation Autor Huang, Kuidong, Li, Zhixiang, Tang, Shaojie, Yang, Fuqiang, Ye, Wenguang, Zeng, Yang

“…•The total variation term with edge information is introduced into convex energy, which improves ability to process weak edges and noise.•An efficient and fast…”
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Fast alternating minimization algorithm for coded aperture snapshot spectral imaging based on sparsity and deep image priors Autor Zhao, Qile, Zhao, Xianhong, Ma, Xu, Chen, Xudong, Arce, Gonzalo R

“… applied. In order to significantly improve the accuracy of reconstruction, this paper proposes a fast alternating minimization algorithm based on the sparsity and deep image priors of natural images…”
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A Unified Bregman Alternating Minimization Algorithm for Generalized DC Programs with Application to Imaging Autor He, Hongjin, Zhang, Zhiyuan

“… To circumvent the nonconvexity and nonseparability of the problem under consideration, we accordingly introduce a unified Bregman alternating minimization algorithm by maximally exploiting…”
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Two-step inertial Bregman alternating minimization algorithm for nonconvex and nonsmooth problems Autor Zhao, Jing, Dong, Qiao-Li, Rassias, Michael Th, Wang, Fenghui

“…In this paper, we propose an algorithm combining Bregman alternating minimization algorithm with two-step inertial force for solving a minimization problem composed of two nonsmooth functions…”
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A symmetric alternating minimization algorithm for total variation minimization Autor Lei, Yuan, Xie, Jiaxin

“… In this paper, we propose a novel symmetric alternating minimization algorithm to solve a broad class of total variation (TV…”
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Fast Rank-One Alternating Minimization Algorithm for Phase Retrieval Autor Cai, Jian-Feng, Liu, Haixia, Wang, Yang

“…The phase retrieval problem is a fundamental problem in many fields, which is appealing for investigation. It is to recover the signal vector x ~ ∈ C d from a…”
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A Learned Proximal Alternating Minimization Algorithm and Its Induced Network for a Class of Two-Block Nonconvex and Nonsmooth Optimization Autor Chen, Yunmei, Liu, Lezhi, Zhang, Lei

“…This work proposes a general learned proximal alternating minimization algorithm, LPAM, for solving learnable two-block nonsmooth and nonconvex optimization problems…”
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A proximal alternating minimization algorithm for the largest C-eigenvalue of piezoelectric-type tensors Autor Wang, Wenjie, Chen, Haibin, Wang, Yiju, Zhou, Guanglu

“…C-eigenvalues of piezoelectric-type tensors play an important role in piezoelectric effect and converse piezoelectric effect. While the largest C-eigenvalue of…”
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Gradient Projection-Based Alternating Minimization Algorithm for Designing Hybrid Beamforming in Millimeter-Wave MIMO Systems Autor Chen, Jung-Chieh

“…This letter considers the use of alternating minimization (AltMin) framework as the main design principle in determining the optimal weights of hybrid digital…”
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Alternating minimization algorithm for hybrid regularized variational image dehazing Autor Shu, Qiaoling, Wu, Chuansheng, Zhong, Qiuxiang, Liu, Ryan Wen

“…Imaging quality is often significantly degraded under hazy weather condition. The purpose of this paper is to recover the latent sharp image from its hazy…”
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Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC Autor Ye Pu, Zeilinger, Melanie N., Jones, Colin N.

“…In this technical note, the fast alternating minimization algorithm (FAMA) is proposed to solve model predictive control (MPC…”
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Alternating minimization algorithm with a probability generating function-based distance measure Autor Rajakrishnan, Ranusha, Ong, Seng Huat, Ng, Choung Min

“…The Expectation Maximization (EM) algorithm, a popular method for maximum likelihood estimation of parameters, requires a complete data space and construction…”
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Accelerated alternating minimization algorithm for Poisson noisy image recovery Autor Padcharoen, Anantachai, Kitkuan, Duangkamon, Kumam, Poom, Rilwan, Jewaidu, Kumam, Wiyada

“… In this paper, we present a new method based on accelerated alternating minimization algorithm (AAMA…”
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An alternating minimization algorithm for the minimal H-eigenvalue of the M-tensor Autor Zhao, Xinzhu, Dong, Bo, Yu, Bo, Yu, Yan

“… This paper presents an alternating minimization algorithm for the calculation of minimal H-eigenvalue of M -tensor…”
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Alternating Minimization Algorithm for Speckle Reduction With a Shifting Technique Autor Woo, Hyenkyun, Yun, Sangwoon

“… In this paper, we adapt Tseng's alternating minimization algorithm with a shifting technique to efficiently remove the speckle without any inner iterations or inverses involving the Laplacian operator…”
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