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CORE-Sketch: On Exact Computation of Median Absolute Deviation with Limited Space
Proceedings of the VLDB Endowment, 2023Median absolute deviation (MAD), the median of the absolute deviations from the median, has been found useful in various applications such as outlier detection.
Haoquan Guan, Zi-Yuan Chen, Shaoxu Song
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Enhanced minimum description length CFAR based on median absolute deviation
International Conference on Signal Processing Systems, 2022The actual radar exposure area contains different types of landforms, resulting in non-uniform radar clutter, which significantly reduces the target detection performance and makes it difficult to maintain a constant false alarm probability.
Jinwei Gu +5 more
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Approximating Median Absolute Deviation with Bounded Error
Proceedings of the VLDB Endowment, 2021The median absolute deviation (MAD) is a statistic measuring the variability of a set of quantitative elements. It is known to be more robust to outliers than the standard deviation (SD), and thereby widely used in outlier detection.
Zhiwei Chen +4 more
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Quality and Reliability Engineering International, 2021
In this paper, X¯ charts based on robust scale estimators (known as Sn and Qn estimators) are proposed, and the performance of control charts based on median absolute deviation (MAD) is compared with those based on some alternatives to MAD, which do not ...
K. S. Adekeye +3 more
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In this paper, X¯ charts based on robust scale estimators (known as Sn and Qn estimators) are proposed, and the performance of control charts based on median absolute deviation (MAD) is compared with those based on some alternatives to MAD, which do not ...
K. S. Adekeye +3 more
semanticscholar +1 more source
International Symposium on Image and Signal Processing and Analysis
Ship detection in SAR (Synthetic Aperture Radar) imagery plays a crucial role in maritime surveillance, enabling the monitoring of vessel activity, ensuring maritime safety, and supporting security operations.
Hicham Madjidi, T. Laroussi, N. Detouche
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Ship detection in SAR (Synthetic Aperture Radar) imagery plays a crucial role in maritime surveillance, enabling the monitoring of vessel activity, ensuring maritime safety, and supporting security operations.
Hicham Madjidi, T. Laroussi, N. Detouche
semanticscholar +1 more source
Image Registration using Median Absolute Deviation –based Adaptive RANSAC
Engineering, Technology & Applied Science ResearchImage registration encompasses topics such as change detection and remote sensing. Feature-based registration is one of the main approaches and relies on feature extraction and matching.
Khalid Akdim, H. Roukhe, A. Roukhe
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Survey Review
Circular curve fitting with equality constraints using robust nonlinear weighted total least squares with equality constraints (RNWTLSEC) based on the iteratively reweighted method is affected by the initial values.
Chuan Hu +4 more
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Circular curve fitting with equality constraints using robust nonlinear weighted total least squares with equality constraints (RNWTLSEC) based on the iteratively reweighted method is affected by the initial values.
Chuan Hu +4 more
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Metrika (Heidelberg), 2018
Median absolute deviation (hereafter MAD) is known as a robust alternative to the ordinary variance. It has been widely utilized to induce robust statistical inferential procedures.
Qing Liu, Xiaohui Liu, Zihao Hu
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Median absolute deviation (hereafter MAD) is known as a robust alternative to the ordinary variance. It has been widely utilized to induce robust statistical inferential procedures.
Qing Liu, Xiaohui Liu, Zihao Hu
semanticscholar +1 more source
2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT), 2019
Brain Computer interface (BCI) is thought as a better way to link within brain and computer alternative machine. Many types of physiological signal will work BCI framework.
Abu Saleh Musa Miah +5 more
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Brain Computer interface (BCI) is thought as a better way to link within brain and computer alternative machine. Many types of physiological signal will work BCI framework.
Abu Saleh Musa Miah +5 more
semanticscholar +1 more source

