GRACGE: Graph Signal Clustering and Multiple Graph Estimation

Author:

Yuan Yanli1ORCID,Soh De Wen1,Yang Xiao2ORCID,Guo Kun3ORCID,Quek Tony Q. S.1ORCID

Affiliation:

1. Singapore University of Technology and Design, Singapore

2. State Key Laboratory of Integrated Service Institute of Information Science, Xidian University, Xi’an, Shaanxi, China

3. Shanghai Key Laboratory of Multidimensional Information Processing, School of Communications and Electronics Engineering, East China Normal University, Shanghai, China

Funder

National Research Foundation Singapore

AI Singapore Programme

SUTD Growth Plan

Shanghai Pujiang Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Reference50 articles.

1. A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers

2. High dimensional expectation-maximization algorithm: Statistical optimization and asymptotic normality;wang;Proc Adv Neural Inf Process Syst,0

3. Estimation of multiple networks in Gaussian mixture models

4. High dimensional sparse gaussian graphical mixture model;lotsi,2013

5. On the Sample Complexity of Graphical Model Selection From Non-Stationary Samples

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Graph-Assisted Framework for Multiple Graph Learning;IEEE Transactions on Signal and Information Processing over Networks;2024

2. Online Inference for Mixture Model of Streaming Graph Signals With Sparse Excitation;IEEE Transactions on Signal Processing;2022

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