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Removing spatial outliers in PS applications

2012 International Conference on Selected Topics in Mobile and Wireless Networking, 2012
In this paper we study the problem of sensor data verification in Participatory Sensing (PS) systems using an air quality/pollution monitoring application as a validation example. Data verification, in the context of PS, consists of the process of removing spatial outliers to properly reconstruct the variables of interest.
Diego Mendez, Miguel A. Labrador
openaire   +1 more source

Heartbeat Selection Based on Outlier Removal

2022
Miguel Carvalho, Susana BrĂ¡s
openaire   +1 more source

Outlier Removal for Fingerprinting Localization Methods

2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022
Brent Laird, Trac Tran
openaire   +1 more source

Removing Outliers in Illumination Estimation

Color and Imaging Conference, 2012
Brian V. Funt, Milan Mosny
openaire   +2 more sources

Improving recommendation quality through outlier removal

International Journal of Machine Learning and Cybernetics, 2022
Yuanyuan Xu 0003   +2 more
openaire   +1 more source

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 method for Sentinel-1 DEM outlier removal using 2-D Kalman filter

Geocarto International, 2022
Mohammad Amin Ghannadi   +1 more
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  

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