training sample selection Latest Research Papers

A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping

Remote Sensing of Environment ◽

10.1016/j.rse.2021.112670 ◽

2021 ◽

Vol 266 ◽

pp. 112670

Author(s):

Congcong Li ◽

George Xian ◽

Qiang Zhou ◽

Bruce W. Pengra

Keyword(s):

Time Series ◽

Land Cover ◽

Sample Selection ◽

Training Sample ◽

Land Cover Mapping ◽

Multiple Datasets ◽

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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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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Training Sample Selection Strategy applied to CNN in Magneto-Thermal coupled Analysis

IEEE Transactions on Magnetics ◽

10.1109/tmag.2021.3058131 ◽

2021 ◽

pp. 1-1

Author(s):

Ruohan Gong ◽

Zuqi Tang

Keyword(s):

Sample Selection ◽

Training Sample ◽

Coupled Analysis ◽

Selection Strategy ◽

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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Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr42600.2020.00978 ◽

2020 ◽

Cited By ~ 16

Author(s):

Shifeng Zhang ◽

Cheng Chi ◽

Yongqiang Yao ◽

Zhen Lei ◽

Stan Z. Li

Keyword(s):

Sample Selection ◽

Training Sample ◽

Adaptive Training ◽

Training Sample Selection

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An Iterative Random Training Sample Selection Approach to Constrained Energy Minimization for Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2020.3005078 ◽

2020 ◽

pp. 1-5

Author(s):

Xiaodi Shang ◽

Meiping Song ◽

Chein-I Chang

Keyword(s):

Image Classification ◽

Energy Minimization ◽

Hyperspectral Image ◽

Sample Selection ◽

Training Sample ◽

Hyperspectral Image Classification ◽

Selection Approach ◽

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 graded proportion method of training sample selection for updating conventional soil maps

Geoderma ◽

10.1016/j.geoderma.2019.113939 ◽

2020 ◽

Vol 357 ◽

pp. 113939 ◽

Cited By ~ 3

Author(s):

Xueqi Liu ◽

A-Xing Zhu ◽

Lin Yang ◽

Tao Pei ◽

Junzhi Liu ◽

...

Keyword(s):

Sample Selection ◽

Training Sample ◽

Soil Maps ◽

Proportion Method ◽

Selection For ◽

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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training sample selection
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping

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

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

Training Sample Selection Strategy applied to CNN in Magneto-Thermal coupled Analysis

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

Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

An Iterative Random Training Sample Selection Approach to Constrained Energy Minimization for Hyperspectral Image Classification

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

A graded proportion method of training sample selection for updating conventional soil maps

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

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training sample selectionRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

A novel automatic phenology learning (APL) method of training sample selection using multiple datasets for time-series land cover mapping

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

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

Training Sample Selection Strategy applied to CNN in Magneto-Thermal coupled Analysis

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

Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

An Iterative Random Training Sample Selection Approach to Constrained Energy Minimization for Hyperspectral Image Classification

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

A graded proportion method of training sample selection for updating conventional soil maps

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

training sample selection
Recently Published Documents