Interpolation of Missing Data in Sensor Networks Using Nonnegative Matrix Factorization

被引：2

作者：

Suyama, Takayuki ^{[1
]}

Kishino, Yasue ^{[1
]}

Shirai, Yoshinari ^{[1
]}

Mizutani, Shin ^{[1
]}

Sawada, Hiroshi ^{[1
]}

机构：

[1] NTT Commun Sci Labs, 2-4 Hikaridai, Seika, Kyoto 6190237, Japan

来源：

PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT) | 2018年

关键词：

Sensor networks; Interpolation; Nonnegative Matrix Factorization;

D O I：

10.1145/3267305.3267585

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a method that interpolates missing values from sensor nodes in a sensor network using Nonnegative Matrix Factorization. Since nearby sensor nodes take approximate values, more reliable interpolation is possible with these values. We carried out experiments and evaluations using the data of sensors deployed in a real environment.

引用

页码：263 / 266

页数：4

共 50 条

[1] CONVEX NONNEGATIVE MATRIX FACTORIZATION WITH MISSING DATA
Hamon, Ronan
Emiya, Valentin
Fevotte, Cedric
[J]. 2016 IEEE 26TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP), 2016,
[2] Missing Spectrum-Data Recovery in Cognitive Radio Networks Using Piecewise Constant Nonnegative Matrix Factorization
Zaeemzadeh, Alireza
Joneidi, Mohsen
Shahrasbi, Behzad
Rahnavard, Nazanin
[J]. 2015 IEEE MILITARY COMMUNICATIONS CONFERENCE (MILCOM 2015), 2015, : 238 - 243
[3] Semi-Nonnegative Matrix Factorization for Motion Segmentation with Missing Data
Mo, Quanyi
Draper, Bruce A.
[J]. COMPUTER VISION - ECCV 2012, PT VII, 2012, 7578 : 402 - 415
[4] Nonnegative Matrix Factorization: When Data is not Nonnegative
Wu, Siyuan
Wang, Jim
[J]. 2014 7TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2014), 2014, : 227 - 231
[5] Clustering Data using a Nonnegative Matrix Factorization (NMF)
Abdulla, Hussam Dahwa
Polovincak, Martin
Snasel, Vaclav
[J]. 2009 SECOND INTERNATIONAL CONFERENCE ON THE APPLICATIONS OF DIGITAL INFORMATION AND WEB TECHNOLOGIES (ICADIWT 2009), 2009, : 749 - 752
[6] Immersive visualization of visual data using nonnegative matrix factorization
Babaee, Mohammadreza
Tsoukalas, Stefanos
Rigoll, Gerhard
Datcu, Mihai
[J]. NEUROCOMPUTING, 2016, 173 : 245 - 255
[7] Nonnegative Matrix Factorization Using Nonnegative Polynomial Approximations
Debals, Otto
Van Barel, Marc
De Lathauwer, Lieven
[J]. IEEE SIGNAL PROCESSING LETTERS, 2017, 24 (07) : 948 - 952
[8] Community Detection in Temporal Networks Using Triple Nonnegative Matrix Factorization
Liu, Hai-fu
Yuan, Li-meng-zi
[J]. INTERNATIONAL CONFERENCE ON MATHEMATICS, MODELLING AND SIMULATION TECHNOLOGIES AND APPLICATIONS (MMSTA 2017), 2017, 215 : 499 - 505
[9] A Survey of Community Detection in Complex Networks Using Nonnegative Matrix Factorization
He, Chaobo
Fei, Xiang
Cheng, Qiwei
Li, Hanchao
Hu, Zeng
Tang, Yong
[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 9 (02) : 440 - 457
[10] Nonnegative Matrix Factorization for Signal and Data Analytics
Fu, Xiao
Huang, Kejun
Sidiropoulos, Nicholas D.
Ma, Wing-Kin
[J]. IEEE SIGNAL PROCESSING MAGAZINE, 2019, 36 (02) : 59 - 80

← 1 2 3 4 5 →