Distributed Network Reconstruction Based on Binary Compressed Sensing via ADMM
Author:
Affiliation:
1. School of Automation, Central South University, Changsha, Hunan, China
2. Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi'an, Shaanxi, China
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Qingdao University
Fundamental Research Funds for the Central Universities
Higher Education Discipline Innovation Project
Tencent Foundation
XPLORER PRIZE
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/6488902/10159461/10064087.pdf?arnumber=10064087
Reference58 articles.
1. A Parametric Model Approach for Structural Reconstruction of Scale-Free Networks
2. Chemical Turbulence
3. Recovering Structures of Complex Dynamical Networks Based on Generalized Outer Synchronization
4. Heterogeneity of Scale-free Networks
5. Analysis of reference and citation copying in evolving bibliographic networks
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