Results 31 to 40 of about 42,043 (166)
Adaptive parameter local consistency automatic outlier removal algorithm for area-based matching [PDF]
Due to the influence of image differences and matching methods, geometric calibration of remote sensing images often results in the extraction of control points with inevitable outliers.
T. Huang, H. Pan, N. Zhou
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High-Speed Outlier Removal Filter for LiDAR Sensor Point Cloud Data
This paper proposes an innovative high-speed outlier removal filter designed to efficiently eliminate noise in light detection and ranging (LiDAR) sensor point cloud data, which is essential for real-time autonomous vehicle applications.
Yeun-Sub Byun, Rag-Gyo Jeong
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Structured light depth imaging offers a high precision of 3D measurement for applications to industrial modeling, inspection, reproduction and archiving.
Sukhan Lee, Muhammad Atif
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Robust principal component analysis for accurate outlier sample detection in RNA-Seq data
Background High throughput RNA sequencing is a powerful approach to study gene expression. Due to the complex multiple-steps protocols in data acquisition, extreme deviation of a sample from samples of the same treatment group may occur due to technical ...
Xiaoying Chen +4 more
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Aiming to serve as a preliminary study for South Korea’s national GHG emission factor development, this study reviewed data treatment and sample size determination approaches to establishing the destruction and removal efficiency (DRE) of the ...
Seongmin Kang +4 more
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ShotgunWSD 2.0: An Improved Algorithm for Global Word Sense Disambiguation
ShotgunWSD is a recent unsupervised and knowledge-based algorithm for global word sense disambiguation (WSD). The algorithm is inspired by the Shotgun sequencing technique, which is a broadly-used whole genome sequencing approach. ShotgunWSD performs WSD
Andrei M. Butnaru, Radu Tudor Ionescu
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An Adversarial Optimization Approach to Efficient Outlier Removal [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu, Jin +3 more
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Robust Hessian Locally Linear Embedding Techniques for High-Dimensional Data
Recently manifold learning has received extensive interest in the community of pattern recognition. Despite their appealing properties, most manifold learning algorithms are not robust in practical applications.
Xianglei Xing, Sidan Du, Kejun Wang
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Shear wave velocity is an essential elastic rock parameter for reservoir characterization, fluid identification, and rock physics model building. However, S-wave velocity logging data are often missing due to economic reason.
David Cova +4 more
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The accurate estimation of nearshore bathymetry is necessary for multiple aspects of coastal research and practices. The traditional shipborne single-beam/multi-beam echo sounders and Airborne Lidar bathymetry (ALB) have a high cost, are inefficient, and
Congshuang Xie +4 more
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