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Type-Based Outlier Removal Framework for Point Clouds

Information Sciences, 2021
Jieqing Feng, Linlin Ge
exaly  

A Comprehensive Deep Learning-Based Outlier Removal Method for Multibeam Bathymetric Point Cloud

IEEE Transactions on Geoscience and Remote Sensing, 2023
Jianhu Zhao, Jiawei Long
exaly  

A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Hong Xie, Li Yan, Jicheng Dai
exaly  

Point Clouds Outlier Removal Method Based on Improved Mahalanobis and Completion

IEEE Robotics and Automation Letters, 2023
Yan Zhang, Yang Yang, Chengzhi Qu
exaly  

Should We Keep or Remove Outliers?

Journal of Nursing Education
In keeping with this year's focus on outliers, this column entry encourages our community to only consider deleting outliers after a thorough investigation suggests the method is valid. If the preponderance of evidence does not favor removing an outlier, then researchers should retain the observation(s) and turn to alternative outlier management ...
openaire   +2 more sources

Out-of-Core Outlier Removal for Large-Scale Indoor Point Clouds

Graphical Models, 2022
Jieqing Feng, Linlin Ge
exaly  

K-Nearest Neighbors Optimization-Based Outlier Removal

Journal of Computational Chemistry, 2015
Abraham Yosipof, Hanoch Senderowitz
exaly  

Guaranteed Outlier Removal for Point Cloud Registration With Correspondences

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
Alvaro Parra, Tat-Jun Chin
exaly  

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