Learned Factor Graphs for Inference from Stationary Time Sequences

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2021.3139506 ◽

2021 ◽

pp. 1-1

Author(s):

Nir Shlezinger ◽

Nariman Farsad ◽

Yonina C. Eldar ◽

Andrea Goldsmith

Keyword(s):

Factor Graphs ◽

Stationary Time ◽

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Adaptive Prediction of Stationary Time Series by Modified Conjugate Direction Methods

Communications in Statistics - Simulation and Computation ◽

10.1080/03610917508548494 ◽

1975 ◽

Vol 4 (1) ◽

pp. 19-32

Author(s):

James Friel

Keyword(s):

Time Series ◽

Stationary Time Series ◽

Conjugate Direction ◽

Stationary Time ◽

Adaptive Prediction ◽

Conjugate Direction Methods

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Data Fusion of TOA and AOA Measurements for Target Location Estimation in Heterogeneous Wireless Sensor Networks Using Factor Graphs

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e92.a.2927 ◽

2009 ◽

Vol E92-A (11) ◽

pp. 2927-2931 ◽

Author(s):

Jung-Chieh CHEN

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Fusion ◽

Target Location ◽

Location Estimation ◽

Wireless Sensor ◽

Factor Graphs ◽

Heterogeneous Wireless Sensor Networks

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Stationary Time Series Analysis Using Information and Spectral Analysis

10.21236/ada257279 ◽

1992 ◽

Author(s):

Emanuel Parzen

Keyword(s):

Time Series ◽

Spectral Analysis ◽

Time Series Analysis ◽

Stationary Time Series ◽

Series Analysis ◽

Stationary Time

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Online Data Mining for Co-Evolving Time Sequences

10.21236/ada371154 ◽

1999 ◽

Author(s):

B. K. Yi ◽

N. D. Sidiropoulos ◽

T. Johnson ◽

H. V. Jagadish ◽

C. Faloutsos

Keyword(s):

Data Mining ◽

Online Data ◽

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Target localization in acoustic sensor networks using factor graphs

2008 IEEE 16th Signal Processing, Communication and Applications Conference ◽

10.1109/siu.2008.4632715 ◽

2008 ◽

Author(s):

Murat Uney ◽

Mujdat Cetin

Keyword(s):

Sensor Networks ◽

Target Localization ◽

Acoustic Sensor ◽

Factor Graphs ◽

Acoustic Sensor Networks

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Multidimensional specification test based on non-stationary time series

Test ◽

10.1007/s11749-021-00780-0 ◽

2021 ◽

Author(s):

Jun Wang ◽

Dianpeng Wang ◽

Yubin Tian

Keyword(s):

Time Series ◽

Stationary Time Series ◽

Specification Test ◽

Stationary Time

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A Model for Non-Stationary Time Series and Its Applications in Filtering and Anomaly Detection

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3059321 ◽

2021 ◽

pp. 1-1

Author(s):

Shixiong Wang ◽

Chongshou Li ◽

Andrew Lim

Keyword(s):

Time Series ◽

Anomaly Detection ◽

Stationary Time Series ◽

Stationary Time

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Pricing decisions with different time sequences in a cross‐border dual‐channel supply chain

International Transactions in Operational Research ◽

10.1111/itor.12937 ◽

2021 ◽

Author(s):

Xue Chen ◽

Bo Li ◽

Simin An ◽

Yanran Li

Keyword(s):

Supply Chain ◽

Pricing Decisions ◽

Cross Border ◽

Dual Channel ◽

Dual Channel Supply Chain ◽

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Biclustering of time series data using factor graphs

Proceedings of the Symposium on Applied Computing - SAC '17 ◽

10.1145/3019612.3019848 ◽

2017 ◽

Author(s):

Matteo Denitto ◽

Alessandro Farinelli ◽

Manuele Bicego

Keyword(s):

Time Series ◽

Time Series Data ◽

Series Data ◽

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Investigation of Oscillatory States Involving Acoustic Mode Shifts in a Turbulent Syngas Combustion using Non-stationary Time-series Analysis

Flow Turbulence and Combustion ◽

10.1007/s10494-021-00258-x ◽

2021 ◽

Author(s):

Nikhil A. Baraiya ◽

Vikram Ramanan ◽

N. Baladandayuthapani ◽

C. S. Vegad ◽

S. R. Chakravarthy

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Acoustic Mode ◽

Stationary Time Series ◽

Series Analysis ◽

Stationary Time ◽

Syngas Combustion

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