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Learning Discriminative Reconstructions for Unsupervised Outlier Removal
2015 IEEE International Conference on Computer Vision (ICCV), 2015We study the problem of automatically removing outliers from noisy data, with application for removing outlier images from an image collection. We address this problem by utilizing the reconstruction errors of an autoencoder. We observe that when data are reconstructed from low-dimensional representations, the inliers and the outliers can be well ...
Yan Xia +4 more
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Grouped outlier removal for robust ellipse fitting
2015 14th IAPR International Conference on Machine Vision Applications (MVA), 2015This paper presents a novel outlier removal method which is capable of fitting ellipse in real-time under high outlier rate, based on the phenomenon that outliers generated by ellipse edge point detector are likely to appear as groups due to real-world nuisances, such as under partial occlusion or illumination change.
Mang Shao +2 more
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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
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Heartbeat Selection Based on Outlier Removal
2022Miguel Carvalho, Susana Brás
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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, 2021Linlin Ge, Jieqing Feng
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A Comprehensive Deep Learning-Based Outlier Removal Method for Multibeam Bathymetric Point Cloud
IEEE Transactions on Geoscience and Remote Sensing, 2023Jiawei Long +2 more
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Point Clouds Outlier Removal Method Based on Improved Mahalanobis and Completion
IEEE Robotics and Automation Letters, 2023Chengzhi Qu, Yan Zhang, Yang Yang
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