Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals

被引：0
|
作者：
Fatima, Ghania
Arora, Aakash
Babu, Prabhu
Stoica, Petre
机构：
来源：
arXiv | 2022年
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Graph theory
引用
收藏
相关论文
共 50 条
  • [31] Non-Coherent DOA Estimation via Majorization-Minimization Using Sign Information
    Delbari, Mohamadreza
    Javaheri, Amirhossein
    Zayyani, Hadi
    Marvasti, Farrokh
    IEEE SIGNAL PROCESSING LETTERS, 2022, 29 : 892 - 896
  • [32] Elastic-Net Constrained Multiple Kernel Learning Using a Majorization-Minimization Approach
    Citi, Luca
    2015 7TH COMPUTER SCIENCE AND ELECTRONIC ENGINEERING CONFERENCE (CEEC), 2015, : 29 - 34
  • [33] Large-scale robust regression with truncated loss via majorization-minimization algorithm
    Huang, Ling-Wei
    Shao, Yuan-Hai
    Lv, Xiao-Jing
    Li, Chun-Na
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2024, 319 (02) : 494 - 504
  • [34] Convex-structured covariance estimation via the entropy loss under the majorization-minimization algorithm framework
    Chen, Chen
    Chen, Xiangbing
    Ai, Yi
    AIMS MATHEMATICS, 2024, 9 (06): : 14253 - 14273
  • [35] Designing unimodular sequence with good auto-correlation properties via Block Majorization-Minimization method
    Sankuru, Surya Prakash
    Babu, Prabhu
    SIGNAL PROCESSING, 2020, 176
  • [36] A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems
    Tang, Peipei
    Wang, Chengjing
    Sun, Defeng
    Toh, Kim-Chuan
    Journal of Machine Learning Research, 2020, 21
  • [37] Efficient Constant Envelope Precoding for Massive MU-MIMO Downlink via Majorization-Minimization Method
    Liang, Rui
    Li, Hui
    Dong, Yingli
    Xue, Guodong
    ENTROPY, 2024, 26 (04)
  • [38] A hierarchical Bayesian perspective on majorization-minimization for non-convex sparse regression: application to M/EEG source imaging
    Bekhti, Yousra
    Lucka, Felix
    Salmon, Joseph
    Gramfort, Alexandre
    INVERSE PROBLEMS, 2018, 34 (08)
  • [39] A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems
    Tang, Peipei
    Wang, Chengjing
    Sun, Defeng
    Toh, Kim-Chuan
    JOURNAL OF MACHINE LEARNING RESEARCH, 2020, 21
  • [40] Design of Multiple Unimodular Waveforms With Low Auto- and Cross-Correlations for Radar via Majorization-Minimization
    Li, Yongzhe
    Vorobyov, Sergiy A.
    He, Zishu
    2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2016, : 2235 - 2239
12345