A training sample selection method based on united generalised inner product statistics for STAP

IET Radar Sonar & Navigation ◽

10.1049/rsn2.12146 ◽

2021 ◽

Author(s):

Xinzhe Li ◽

Wenchong Xie ◽

Yongliang Wang

Keyword(s):

Sample Selection ◽

Training Sample ◽

Selection Method ◽

Inner Product ◽

Training Sample Selection

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Covariance Matrix Whitening-Based Training Sample Selection Method for Airborne Radar

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2020.2984371 ◽

2020 ◽

pp. 1-5

Author(s):

Ming Li ◽

Guohao Sun ◽

Jun Tong ◽

Zishu He

Keyword(s):

Covariance Matrix ◽

Sample Selection ◽

Training Sample ◽

Selection Method ◽

Airborne Radar ◽

Training Sample Selection

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A novel heterogeneous training sample selection method on space-time adaptive processing

10.1063/1.5033812 ◽

2018 ◽

Author(s):

Qiang Wang ◽

Yongshun Zhang ◽

Yiduo Guo

Keyword(s):

Sample Selection ◽

Training Sample ◽

Selection Method ◽

Space Time ◽

Adaptive Processing ◽

Space Time Adaptive Processing ◽

Training Sample Selection

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A novel training sample selection method for STAP based on clutter sparse recovery

2016 Progress in Electromagnetic Research Symposium (PIERS) ◽

10.1109/piers.2016.7734926 ◽

2016 ◽

Cited By ~ 1

Author(s):

Sudan Han ◽

Chongyi Fan ◽

Xiaotao Huang

Keyword(s):

Sample Selection ◽

Training Sample ◽

Sparse Recovery ◽

Selection Method ◽

Training Sample Selection

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A New Training Sample Selection Method Avoiding Over-Fitting Based on Nearest Neighbor Rule

Advances in Intelligent, Interactive Systems and Applications - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-030-02804-6_120 ◽

2019 ◽

pp. 928-935

Author(s):

Guang Li

Keyword(s):

Nearest Neighbor ◽

Sample Selection ◽

Training Sample ◽

Selection Method ◽

Nearest Neighbor Rule ◽

Training Sample Selection

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Training sample selection: impact on screening automation in diagnostic test accuracy reviews

Research Synthesis Methods ◽

10.1002/jrsm.1518 ◽

2021 ◽

Author(s):

A. J. Altena ◽

R. Spijker ◽

M. M. G. Leeang ◽

S. D. Olabarriaga

Keyword(s):

Diagnostic Test ◽

Sample Selection ◽

Training Sample ◽

Diagnostic Test Accuracy ◽

Test Accuracy ◽

Training Sample Selection

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Active learning for training sample selection in remote sensing image classification using spatial information

Remote Sensing Letters ◽

10.1080/2150704x.2017.1375610 ◽

2017 ◽

Vol 8 (12) ◽

pp. 1210-1219 ◽

Cited By ~ 7

Author(s):

Qikai Lu ◽

Yong Ma ◽

Gui-Song Xia

Keyword(s):

Remote Sensing ◽

Active Learning ◽

Image Classification ◽

Spatial Information ◽

Sample Selection ◽

Remote Sensing Image ◽

Training Sample ◽

Remote Sensing Image Classification ◽

Training Sample Selection

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Active training sample selection and updating strategy for near-infrared model with an industrial application

Chinese Journal of Chemical Engineering ◽

10.1016/j.cjche.2019.02.018 ◽

2019 ◽

Vol 27 (11) ◽

pp. 2749-2758

Author(s):

Kaixun He ◽

Kai Wang ◽

Yayun Yan

Keyword(s):

Industrial Application ◽

Near Infrared ◽

Sample Selection ◽

Training Sample ◽

Active Training ◽

Training Sample Selection

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Cyclic training sample selection and cancellation technique for airborne STAP radar under nonhomogeneous environment

Digital Signal Processing ◽

10.1016/j.dsp.2020.102803 ◽

2020 ◽

Vol 104 ◽

pp. 102803

Author(s):

Xinzhe Li ◽

Wenchong Xie ◽

Yongliang Wang

Keyword(s):

Sample Selection ◽

Training Sample ◽

Training Sample Selection

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Training Sample Selection in Learning Control

2004 IEEE International Conference on Robotics and Biomimetics ◽

10.1109/robio.2004.1521806 ◽

2005 ◽

Author(s):

Jun Cheng ◽

Yangsheng Xu ◽

R. Chung

Keyword(s):

Sample Selection ◽

Learning Control ◽

Training Sample ◽

Training Sample Selection

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A New Method of Training Sample Selection in Text Classification

2010 Second International Workshop on Education Technology and Computer Science ◽

10.1109/etcs.2010.621 ◽

2010 ◽

Cited By ~ 2

Author(s):

Yixing Liao ◽

Xuezeng Pan

Keyword(s):

Text Classification ◽

Sample Selection ◽

Training Sample ◽

New Method ◽

Training Sample Selection

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