Search Results - "The majorization–minimization algorithm"

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. The algorithm initially utilizes an…”
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Convex-structured covariance estimation via the entropy loss under the majorization-minimization algorithm framework by Chen, Chen, Chen, Xiangbing, Ai, Yi

“…We estimated convex-structured covariance/correlation matrices by minimizing the entropy loss corresponding to the given matrix. We first considered the…”
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Exploiting layerwise convexity of rectifier networks with sign constrained weights by An, Senjian, Boussaid, Farid, Bennamoun, Mohammed, Sohel, Ferdous

“…By introducing sign constraints on the weights, this paper proposes sign constrained rectifier networks (SCRNs), whose training can be solved efficiently by…”
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Base station selection for energy efficient network operation with the majorization-minimization algorithm by Pollakis, E., Cavalcante, R. L. G., Stanczak, S.

“…In this paper, we study the problem of reducing the energy consumption in a mobile communication network; we select the smallest set of active base stations…”
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Base station selection for energy efficient network operation with the majorization-minimization algorithm by Pollakis, Emmanuel, Garrido Cavalcante, Renato Luis, Stańczak, Slawomir

“…In this paper, we study the problem of reducing the energy consumption in a mobile communication network; we select the smallest set of active base stations…”
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Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization by Yao, Yuxin, Deng, Bailin, Xu, Weiwei, Zhang, Juyong

“…Non-rigid 3D registration, which deforms a source 3D shape in a non-rigid way to align with a target 3D shape, is a classical problem in computer vision. Such…”
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Robust estimation of the incubation period and the time of exposure using γ-divergence by Yoneoka, Daisuke, Kawashima, Takayuki, Tanoue, Yuta, Nomura, Shuhei, Eguchi, Akifumi

“…-divergence-based robust approach for estimating the parameter corresponding to exposure time with a tailored optimization procedure using the majorization-minimization algorithm, which ensures…”
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Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions by Browne, Ryan P., Bagnato, Luca, Punzo, Antonio

“… We derive two estimation procedures for these mixtures. The first one is based on the majorization-minimization algorithm, while the second is based on a fixed point approximation…”
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Exact minimum rank approximation via Schatten p-norm minimization by Liu, Lu, Huang, Wei, Chen, Di-Rong

“…Minimizing the rank of a matrix with a given system of affine constraints is to recover the lowest-rank matrix with many important applications in engineering…”
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Compressed sensing MRI based on image decomposition model and group sparsity by Fan, Xiaoyu, Lian, Qiusheng, Shi, Baoshun

“…The image representation plays an important role in compressed sensing magnetic resonance imaging (CSMRI). However, how to adaptive sparsely represent images…”
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Fast Sparsity-Assisted Signal Decomposition With Nonconvex Enhancement for Bearing Fault Diagnosis by Zhao, Zhibin, Wang, Shibin, Wong, David, Wang, Wendong, Yan, Ruqiang, Chen, Xuefeng

“…Sparsity-assisted signal decomposition (SASD) based on morphological component analysis (MCA) for bearing fault diagnosis has been studied in-depth. However,…”
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Quasi-Newton Solver for Robust Non-Rigid Registration by Yao, Yuxin, Deng, Bailin, Xu, Weiwei, Zhang, Juyong

“… We apply the majorization-minimization algorithm to the problem, which reduces each iteration to solving a simple least-squares problem with L-BFGS…”
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Direction of arrival estimation for a non-ideal acoustic vector hydrophone array by Shi, Wentao, Li, Xiangshui, Wang, Weidong, Tan, Weijie, Li, Hui

“…•A new cost function is foumulated to achieve the DOA estimate.•The analytical expressions of the signal and axial angle bias matrix is derived.•The…”
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A coupled non-convex hybrid regularization and weak H-1 image decomposition model for denoising application by Lu, Wenjing, Fang, Zhuang, Wu, Liang, Tang, Liming, Liu, Hanxin

“…Recently, many non-convex variational models have been developed to reduce staircase artifacts in the smooth regions of restored images. Among these models,…”
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Wideband Waveform Design for Distributed Precision Jamming by Zhang, Kedi, Zhou, Qingsong, Wang, Jing, Huang, Chao, Yang, Zhongping, Zhang, Jianyun

“…Precision electronic warfare is a hot direction for future jamming technology development, and distributed precision jamming (DIPJ) is one of its typical…”
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Active Aerial Reconfigurable Intelligent Surface Assisted Secure Communications: Integrating Sensing and Positioning by Wang, Dawei, Wang, Zijun, Yu, Keping, Wei, Zhiqiang, Zhao, Hongbo, Al-Dhahir, Naofal, Guizani, Mohsen, Leung, Victor C. M.

“…This paper proposes an active aerial reconfigurable intelligent surface (ARIS) assisted secure communication framework by integrating sensing and positioning…”
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Robust image filtering using joint static and dynamic guidance by Ham, Bumsub, Minsu Cho, Ponce, Jean

“… Image filtering is formulated as a nonconvex optimization problem, which is solved by the majorization-minimization algorithm…”
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Direction finding based on iterative adaptive approach utilizing weighted ℓ2-norm penalty for acoustic vector sensor array by Wang, Weidong, Tan, Weijie, Shi, Wentao, Zhang, Qunfei, Li, Hui

“…It is well known that the iterative adaptive approach (IAA) is an effective direction-of-arrival (DOA) estimation method for large aperture array, high…”
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Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images by Chopra, Aditya, Lian, Heng

“… Using a particular instantiation of the majorization-minimization algorithm, the optimization problem can be efficiently solved and the computational procedure realized is similar to the spatially…”
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Variable selection in quantile regression when the models have autoregressive errors by Lim, Yaeji, Oh, Hee-Seok

“…This paper considers a problem of variable selection in quantile regression with autoregressive errors. Recently, Wu and Liu (2009) investigated the oracle…”
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