Search Results - Majorization–minimization algorithm

Majorization-Minimization Algorithms for Wavelet-Based Image Restoration by Figueiredo, M.A.T., Bioucas-Dias, J.M., Nowak, R.D.

“… This paper presents a unified view of several recently proposed algorithms for handling this class of optimization problems, placing them in a common majorization-minimization (MM) framework…”
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A majorization–minimization algorithm for split feasibility problems by Xu, Jason, Chi, Eric C., Yang, Meng, Lange, Kenneth

“… Our algorithm is based on the principle of majorization…”
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Convergence analysis of stochastic higher-order majorization-minimization algorithms by Lupu, Daniela, Necoara, Ion

“…Majorization-minimization schemes are a broad class of iterative methods targeting general optimization problems, including nonconvex, nonsmooth and stochastic…”
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Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning by Ying Sun, Babu, Prabhu, Palomar, Daniel P.

“…This paper gives an overview of the majorization-minimization (MM) algorithmic framework, which can provide guidance in deriving problem-driven algorithms with low computational cost…”
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Amplitude Matching: Majorization-Minimization Algorithm for Sound Field Control Only with Amplitude Constraint by Koyama, Shoichi, Amakasu, Takashi, Ueno, Natsuki, Saruwatari, Hiroshi

“… We derive an efficient algorithm for the amplitude matching based on the majorization-minimization algorithm…”
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SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm by Chouzenoux, Emilie, Fest, Jean-Baptiste

“… We introduce a general stochastic optimization framework, called StochAstic suBspace majoRIzation-miNimization Algorithm SABRINA that encompasses MM quadratic schemes possibly enhanced…”
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An introduction to Majorization‐Minimization algorithms for machine learning and statistical estimation by Nguyen, Hien D.

“…MM (majorization–minimization) algorithms are an increasingly popular tool for solving optimization problems in machine learning and statistical estimation…”
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A Majorization-Minimization Algorithm for Hybrid TOA-RSS Based Localization in NLOS Environment by Panwar, Kuntal, Katwe, Mayur, Babu, Prabhu, Ghare, Pradnya, Singh, Keshav

“… The formulated NLWLS problem is solved using a computationally efficient majorization-minimization (MM…”
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A Majorization-Minimization Algorithm for Neuroimage Registration by Zhou, Gaiting, Tward, Daniel, Lange, Kenneth

“… This limitation imposes substantial time and computational costs. Here we propose a gradient-independent rigid-motion registration algorithm based on the majorization-minimization (MM) principle…”
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Large-scale robust regression with truncated loss via majorization-minimization algorithm by Huang, Ling-Wei, Shao, Yuan-Hai, Lv, Xiao-Jing, Li, Chun-Na

“… To address these challenges, we propose a novel approach called truncated loss regression via majorization-minimization algorithm (TLRM…”
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Hybrid Transceivers Design for Large-Scale Antenna Arrays Using Majorization-Minimization Algorithms by Arora, Aakash, Tsinos, Christos G., Rao, Bhavani Shankar Mysore Rama, Chatzinotas, Symeon, Ottersten, Bjorn

“… Two lines of algorithms based on the majorization-minimization (MM) and the minorization-maximization…”
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A Proximal-Proximal Majorization-Minimization Algorithm for Nonconvex Rank Regression Problems by Tang, Peipei, Wang, Chengjing, Jiang, Bo

“…In this paper, we introduce a proximal-proximal majorization-minimization (PPMM) algorithm for nonconvex rank regression problems…”
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A Majorization-Minimization Algorithm for Nonnegative Binary Matrix Factorization by Magron, Paul, Fevotte, Cedric

“…This paper tackles the problem of decomposing binary data using matrix factorization. We consider the family of mean-parametrized Bernoulli models, a class of…”
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PDMM: A Novel Primal-Dual Majorization-Minimization Algorithm for Poisson Phase-Retrieval Problem by Fatima, Ghania, Li, Zongyu, Arora, Aakash, Babu, Prabhu

“… in the measurements follow Poisson distribution. The proposed algorithm is based on the principle of majorization-minimization (MM…”
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Sparse Representation of Transients Based on Wavelet Basis and Majorization-Minimization Algorithm for Machinery Fault Diagnosis by Fan, Wei, Cai, Gaigai, Huang, Weiguo, Shang, Li, Zhu, Zhongkui

“…) problem, which is hard to be solved in explicit form. With sparse representation theory, this paper proposes a novel method for machinery fault diagnosis by combining the wavelet basis and majorization-minimization (MM) algorithm…”
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Majorization-Minimization Bregman Proximal Gradient Algorithms for NMF with the Kullback–Leibler Divergence by Takahashi, Shota, Tanaka, Mirai, Ikeda, Shiro

“… In this paper, we propose new algorithms, called majorization-minimization Bregman proximal gradient algorithm (MMBPG…”
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An inexact proximal majorization-minimization algorithm for remote sensing image stripe noise removal by Wang, Chengjing, Zhao, Xile, Wang, Qingsong, Ma, Zepei, Tang, Peipei

“…-minimization algorithm with each inner subproblem solved by the alternating direction method of multipliers…”
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The majorization minimization algorithm for solving nonconvex generalized Nash equilibrium problems by Shi, Yingao, Yu, Zhensheng

“…This paper proposes a majorization minimization (MM) algorithm for nonconvex generalized Nash equilibrium problems…”
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On the Convergence of Block Majorization-Minimization Algorithms on the Grassmann Manifold by Lopez, Carlos Alejandro, Riba, Jaume

“…The Majorization-Minimization (MM) framework is widely used to derive efficient algorithms for specific problems that require the optimization of a cost function…”
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Majorization–minimization algorithms for nonsmoothly penalized objective functions by Schifano, Elizabeth D., Strawderman, Robert L., Wells, Martin T.

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