Fast Retrieval of Large Entries With Incomplete Measurement Data-Reference-Cited by-同舟云学术

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Fast Retrieval of Large Entries With Incomplete Measurement Data

Published:2022-10 Issue:5 Volume:30 Page:1955-1969
ISSN:1063-6692
Container-title:IEEE/ACM Transactions on Networking
language:
Short-container-title:IEEE/ACM Trans. Networking

Author:

Xie Kun¹^ORCID,Tian Jiazheng¹^ORCID,Wang Xin²^ORCID,Xie Gaogang³^ORCID,Cao Jiannong⁴^ORCID,Jiang Hongbo¹^ORCID,Wen Jigang¹

Affiliation:

1. College of Computer Science and Electronics Engineering, Hunan University, Changsha, China

2. Department of Electrical and Computer Engineering, The State University of New York at Stony Brook, Stony Brook, NY, USA

3. Computer Network Information Center, Chinese Academy of Sciences, Beijing, China

4. Department of Computing, The Hong Kong Polytechnic University, Hong Kong

Funder

National Natural Science Foundation of China

NSF Electrical, Communications and Cyber Systems

NSF Communication and Information Foundations

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Link

https://ieeexplore.ieee.org/ielam/90/9919692/9750397-aam.pdf

Reference47 articles.

1. Forecasting Fine-Grained Air Quality Based on Big Data

2. Network coordinates in the wild;ledlie;Proc 4th Symp Netw Syst Design Implement,2007

3. Algorithm 862

4. Blind Separation of Exponential Polynomials and the Decomposition of a Tensor in Rank-$(L_r,L_r,1)$ Terms

5. Tensor Decompositions and Applications

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1. A Fast Similarity Matrix Calibration Method with Incomplete Query;Proceedings of the ACM Web Conference 2024;2024-05-13

2. HPETC: History Priority Enhanced Tensor Completion For Network Distance Measurement;IEEE Transactions on Parallel and Distributed Systems;2023

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