Search Results - Majorization-Maximization Algorithm

Accelerating Unbalanced Optimal Transport Problem Using Dynamic Penalty Updating by Su, Xun, Kasai, Hiroyuki

“… There is an urgent need for fast algorithms that can efficiently handle large penalty parameters…”
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Joint Beamforming and Antenna Position Optimization for Fluid Antenna-Assisted MU-MIMO Networks by Liao, Tianyi, Guo, Wei, He, Hengtao, Song, Shenghui, Zhang, Jun, Letaief, Khaled B.

“… Then, we develop a parallel majorization maximization (MM) algorithm capable of optimizing all FA positions simultaneously…”
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Multi-modal mixed-type structural equation modeling with structured sparsity for subgroup discovery from heterogeneous health data by Ding, Yu, Somers, Virend K., Si, Bing

“…The increasing availability of health data from resources such as large biobanks, electronic healthcare records, medical tests, and wearable sensors, has set…”
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Model Selection for Exponential Power Mixture Regression Models by Jiang, Yunlu, Liu, Jiangchuan, Zou, Hang, Huang, Xiaowen

“… In addition, an efficient modified expectation-maximization (EM) algorithm and a majorization…”
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Secure Active and Passive Beamforming in IRS-Aided MIMO Systems by Asaad, Saba, Wu, Yifei, Bereyhi, Ali, Muller, Ralf R., Schaefer, Rafael F., Poor, H. Vincent

“… the achievable weighted secrecy sum-rate. Our design is comprised of two low-complexity algorithms…”
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A novel sparse linear mixed model for multi-source mixed-frequency data fusion in telemedicine by Alramadeen, Wesam, Ding, Yu, Costa, Carlos, Si, Bing

“…Digital health and telemonitoring have resulted in a wealth of information to be collected to monitor, manage, and improve human health. The multi-source…”
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Multi-Access Edge Computing Networks with Execution Uncertainty by Lai, Xiazhi, Feng, Longfeng, Zhou, Shengzhi

“…) and the majorization-maximization (MM) methods. The provided numerical results show the effectiveness of the developed algorithm and demonstrate the improvement of the proposed network over the full offloading network…”
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Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models by Hashemi, Ali, Cai, Chang, Gao, Yijing, Ghosh, Sanjay, Muller, Klaus-Robert, Nagarajan, Srikantan S., Haufe, Stefan

“…We consider the reconstruction of brain activity from electroencephalography (EEG). This inverse problem can be formulated as a linear regression with…”
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Optimizing the Phase Shifts of RIS by MM Algorithm in RIS-Aided Positioning Systems by Hong, Sheng, Liang, Mengdan, Zhou, Rumeng, Xu, Pengzhen

“…In Reconfigurable intelligent surface (RIS)-aided positioning systems, a proper design of RIS phase profile is important to fully explore the potential of RIS…”
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Robust Transmission Design for RIS-Assisted Integrated Sensing and Communication Systems by Xu, Yongqing, Li, Yong, Quek, Tony Q.S.

“…As a critical technology for next-generation communication networks, integrated sensing and communication (ISAC) aims to achieve the harmonious coexistence of…”
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Locally Convex Kernel Mixtures: Bayesian Subspace Learning by Thai, Duy Hoang, Wu, Hau-Tieng, Dunson, David B.

“…Kernel mixture models are routinely used for density estimation. However, in multivariate settings, issues arise in efficiently approximating lower-dimensional…”
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Statistical Multilevel Modeling and Heterogeneous Data Fusion with Application in Telemedicine by Alramadeen, Wesam

“…In the era of Precision Medicine (PM), technological advancements have enabled a wealth of health information to be remotely collected, resulting in increasing…”
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Robust Secure Resource Allocation for Downlink Two-User MISO Rate-Splitting Systems by Fu, Hao, Feng, Suili, Tang, Weijun, Ng, Derrick Wing Kwan

“… To handle the worst-case channel uncertainty of a potential eavesdropper (PE), we study the robust secure resource allocation algorithm which maximizes the minimum achieved worst-case secrecy rate among single-antenna legitimate users…”
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Short-Packet Edge Computing Networks With Execution Uncertainty by Lai, Xiazhi, Wu, Tuo, Pan, Cunhua, Mai, Lifeng, Nallanathan, Arumugam

“…Low-latency computational tasks in Internet-of-Things (IoT) networks require short-packet communications. In this paper, we consider a mobile edge computing…”
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Robust Transmission Design for RIS-Assisted Integrated Sensing and Communication Systems by Xu, Yongqing, Li, Yong, Quek, Tony Q S

“…As a critical technology for next-generation communication networks, integrated sensing and communication (ISAC) aims to achieve the harmonious coexistence of…”
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Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models by Chamroukhi, Faicel, Bao-Tuyen Huynh

“… We develop two hybrid EM algorithms: an Expectation-Majorization-Maximization (EM/MM) algorithm, and an EM algorithm with coordinate…”
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PUlasso: High-Dimensional Variable Selection With Presence-Only Data by Song, Hyebin, Raskutti, Garvesh

“… Our algorithm involves using the majorization-minimization framework which is a generalization of the well-known expectation-maximization…”
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Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models by Hashemi, Ali, Cai, Chang, Gao, Yijing, Ghosh, Sanjay, Klaus-Robert Müller, Nagarajan, Srikantan, Haufe, Stefan

“…We consider the reconstruction of brain activity from electroencephalography (EEG). This inverse problem can be formulated as a linear regression with…”
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Investigation And Comparison of Optimization Methods for Variational Autoencoder-Based Underdetermined Multichannel Source Separation by Seki, Shogo, Kameoka, Hirokazu, Li, Li

“… While we developed a convergence-guaranteed parameter estimation algorithm using a majorization-minimization/minorization-maximization (MM…”
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Statistical-CSI-Based Antenna Selection and Precoding in Uplink MIMO by Ouyang, Chongjun, Bereyhi, Ali, Asaad, Saba, Müller, Ralf R, Yang, Hongwen

“… We then develop a tractable iterative algorithm to tackle the throughput maximization problem, capitalizing on the alternating optimization and majorization-maximization (MM) techniques. Numerical results substantiate the efficiency of the proposed approach and its superior performance as compared with the baseline…”
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