Results 271 to 280 of about 963,417 (295)
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Removing spatial outliers in PS applications
2012 International Conference on Selected Topics in Mobile and Wireless Networking, 2012In 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
2022Miguel Carvalho, Susana BrĂ¡s
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Outlier Removal for Fingerprinting Localization Methods
2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022Brent Laird, Trac Tran
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Removing Outliers in Illumination Estimation
Color and Imaging Conference, 2012Brian V. Funt, Milan Mosny
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Improving recommendation quality through outlier removal
International Journal of Machine Learning and Cybernetics, 2022Yuanyuan Xu 0003 +2 more
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Type-based outlier removal framework for point clouds
Information Sciences, 2021Jieqing Feng, Linlin Ge
exaly
A Comprehensive Deep Learning-Based Outlier Removal Method for Multibeam Bathymetric Point Cloud
IEEE Transactions on Geoscience and Remote Sensing, 2023Jianhu Zhao, Jiawei Long
exaly
A method for Sentinel-1 DEM outlier removal using 2-D Kalman filter
Geocarto International, 2022Mohammad Amin Ghannadi +1 more
exaly
Point Clouds Outlier Removal Method Based on Improved Mahalanobis and Completion
IEEE Robotics and Automation Letters, 2023Yan Zhang, Yang Yang, Chengzhi Qu
exaly
An Enhanced Smartphone Indoor Positioning Scheme with Outlier Removal Using Machine Learning
Remote Sensing, 2021Jingbin Liu, Guangyi Guo, Gege Huang
exaly

