Results 21 to 30 of about 46,215 (298)
Outliers May Not Be Automatically Removed
Journal of Experimental Psychology: General, 2022 Researchers often remove outliers when comparing groups. It is well documented that the common practice of removing outliers within groups leads to inflated type I error rates. However, it was recently argued by André that if outliers are instead removed across groups, type I error rates are not inflated. The same study discusses that removing outliers
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An integrated approach for identifying wrongly labelled samples when performing classification in microarray data. [PDF]
PLoS ONE, 2012 Using hybrid approach for gene selection and classification is common as results obtained are generally better than performing the two tasks independently.
Yuk Yee Leung +2 more
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A Geometric Estimation Technique Based on Adaptive M-Estimators: Algorithm and Applications
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Robust fitting is a basic technique and has been widely applied in photogrammetry and remote sensing, such as geometric correction. As known, typical robust estimators (include M-estimators, S-estimators, MM-estimators, etc.) often fail when outlier rate
Jiayuan Li +3 more
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SUPERVISED OUTLIER DETECTION IN LARGE-SCALE MVS POINT CLOUDS FOR 3D CITY MODELING APPLICATIONS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 We propose to use a discriminative classifier for outlier detection in large-scale point clouds of cities generated via multi-view stereo (MVS) from densely acquired images.
C. Stucker +3 more
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Algorithms for optimal outlier removal
Journal of Discrete Algorithms, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rossen Atanassov +7 more
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Remote Sensing, 2021 Feature-based remote sensing image registration methods have achieved great accomplishments. However, they have faced some limitations of applicability, automation, accuracy, efficiency, and robustness for large high-resolution remote sensing image ...
Junyan Lu +5 more
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Geometric Cover with Outliers Removal.
, 2021 We study the problem of partial geometric cover, which asks to find the minimum number of geometric objects (unit squares and unit disks in this work) that cover at least (n-t) of n given planar points, where 0 ≤ t ≤ n/2. When t = 0, the problem is the classical geometric cover problem, for which many existing works adopt a general framework called the
Guo, Zhengyang, Li, Yi
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Remote Sensing, 2023 Long-range surveillance and early warning of space targets are significant factors in space security. Under remote observation conditions, the energy performance of the target is weak and subject to environmental and imaging process contamination.
Chenyu Xu +5 more
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A Method for Removing Outlier Noise from ArrayInSAR Point Clouds based on Hybrid Filtering [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesArray Interferometric Synthetic Aperture Radar (ArrayInSAR) point cloud is a point cloud obtained by three-dimensional imaging of two-dimensional Synthetic Aperture Radar (SAR) images using array interferometric synthetic aperture radar technology, which
F. Ji +6 more
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