Results 281 to 290 of about 963,417 (295)

Removing Outliers

NIR news, 2016
openaire   +1 more source

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

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Hong Xie, Li Yan, Jicheng Dai
exaly  

Out-of-core outlier removal for large-scale indoor point clouds

Graphical Models, 2022
Jieqing Feng, Linlin Ge
exaly  

An outlier removal and feature dimensionality reduction framework with unsupervised learning and information theory intervention for organic Rankine cycle (ORC)

Energy, 2022
Hongguang Zhang, Fubin Yang, Chengda Xing   +2 more
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   +1 more source

Fast Statistical Outlier Removal Based Method for Large 3D Point Clouds of Outdoor Environments

IFAC-PapersOnLine, 2018
Geert de Cubber, Bruno Siciliano, Jasmin Velagic   +2 more
exaly  

k‐Nearest neighbors optimization‐based outlier removal

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

Dataset profiling for outlier removal

Machine Learning from Challenging Data 2025
Garrett Cayce, Colleen P. Bailey
openaire   +1 more source

Outlier removal methods for skewed data: impact on age-specific high-sensitive cardiac troponin T 99th percentiles

Clinical Chemistry and Laboratory Medicine, 2019
Frédéric Roche, Martin Gellerstedt, Denis Monneret   +2 more
exaly  

A rotating scan scheme for automatic outlier removal in laser scanning of reflective surfaces

International Journal of Advanced Manufacturing Technology, 2015
Hsi-Yung Feng
exaly