Feature selection for user motion pattern recognition in mobile networks

2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC) ◽

10.1109/pimrc.2012.6362589 ◽

2012 ◽

Author(s):

Morteza Mousavi Barroudi ◽

Aaron Harwood ◽

Shanika Karunasekera

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

Mobile Networks ◽

Motion Pattern ◽

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Pattern recognition and feature selection for the discrimination between grades of commercial plastics

Chemometrics and Intelligent Laboratory Systems ◽

10.1016/j.chemolab.2006.01.003 ◽

2007 ◽

Vol 87 (1) ◽

pp. 18-25 ◽

Author(s):

Bozena M. Lukasiak ◽

Simeone Zomer ◽

Richard G. Brereton ◽

Rita Faria ◽

John C. Duncan

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

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Advances in Feature Selection for Data and Pattern Recognition: An Introduction

Advances in Feature Selection for Data and Pattern Recognition - Intelligent Systems Reference Library ◽

10.1007/978-3-319-67588-6_1 ◽

2017 ◽

pp. 1-9 ◽

Author(s):

Urszula Stańczyk ◽

Beata Zielosko ◽

Lakhmi C. Jain

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

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Feature expansion and feature selection for general pattern recognition problems

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 ◽

10.1109/icnnsp.2003.1279205 ◽

2003 ◽

Author(s):

Kaifeng Yao ◽

Wenkai Lu ◽

Shanwen Zhang ◽

Huanqin Xiao ◽

Yanda Li

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

General Pattern ◽

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Statistical sampling and feature selection for epilepsy pattern recognition

Reports of the National Academy of Sciences of Ukraine ◽

10.15407/dopovidi2020.04.053 ◽

2020 ◽

pp. 53-56

Author(s):

V.O. Gaidar ◽

◽

O.O. Sudakov ◽

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

Statistical Sampling ◽

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Random Forest Based Optimal Feature Selection for Partial Discharge Pattern Recognition in HV Cables

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2019.2918316 ◽

2019 ◽

Vol 34 (4) ◽

pp. 1715-1724 ◽

Author(s):

Xiaosheng Peng ◽

Jinshu Li ◽

Ganjun Wang ◽

Yijiang Wu ◽

Lee Li ◽

...

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

Random Forest ◽

Partial Discharge ◽

Discharge Pattern ◽

Optimal Feature Selection ◽

Selection For ◽

Optimal Feature

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Feature Selection for Mobility Pattern Recognition in Mobile Ad-Hoc Networks

2011 7th International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2011.6040418 ◽

2011 ◽

Author(s):

S. M. Mousavi

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

Ad Hoc Networks ◽

Mobile Ad Hoc Networks ◽

Ad Hoc ◽

Mobility Pattern ◽

Mobile Ad Hoc ◽

Selection For ◽

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Feature Selection for Data and Pattern Recognition: An Introduction

Feature Selection for Data and Pattern Recognition - Studies in Computational Intelligence ◽

10.1007/978-3-662-45620-0_1 ◽

2014 ◽

pp. 1-7 ◽

Author(s):

Urszula Stańczyk ◽

Lakhmi C. Jain

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

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Channel and feature selection for a surface electromyographic pattern recognition task

Expert Systems with Applications ◽

10.1016/j.eswa.2014.03.014 ◽

2014 ◽

Vol 41 (11) ◽

pp. 5190-5200 ◽

Author(s):

Iker Mesa ◽

Angel Rubio ◽

Imanol Tubia ◽

Joaquin De No ◽

Javier Diaz

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

Recognition Task ◽

Selection For ◽

Pattern Recognition Task

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Comparison of t -test ranking with PCA and SEPCOR feature selection for wake and stage 1 sleep pattern recognition in multichannel electroencephalograms

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2016.09.016 ◽

2017 ◽

Vol 31 ◽

pp. 499-512 ◽

Author(s):

T.K. Padma Shri ◽

N. Sriraam

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

T Test ◽

Sleep Pattern ◽

Selection For ◽

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Optimal linear feature selection for a general class of statistical pattern recognition models

Pattern Recognition Letters ◽

10.1016/0167-8655(85)90048-0 ◽

1985 ◽

Vol 3 (3) ◽

pp. 161-165 ◽

Author(s):

Dean M Young ◽

Patrick L Odell ◽

Virgil R Marco

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

General Class ◽

Statistical Pattern Recognition ◽

Linear Feature ◽

Statistical Pattern ◽

Optimal Linear ◽

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