Results 41 to 50 of about 42,043 (166)
3D Registration and Integrated Segmentation Framework for Heterogeneous Unmanned Robotic Systems
Remote Sensing, 2020 The paper proposes a novel framework for registering and segmenting 3D point clouds of large-scale natural terrain and complex environments coming from a multisensor heterogeneous robotics system, consisting of unmanned aerial and ground vehicles.
Haris Balta +4 more
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Learning Two-View Correspondences and Geometry via Local Neighborhood Correlation
Entropy, 2021 Seeking quality feature correspondences (also known as matches) is a foundational step in computer vision. In our work, a novel and effective network with a stable local constraint, named the Local Neighborhood Correlation Network (LNCNet), is proposed ...
Luanyuan Dai +4 more
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Improving K-Means by Outlier Removal [PDF]
, 2005 We present an Outlier Removal Clustering (ORC) algorithm that provides outlier detection and data clustering simultaneously. The method employs both clustering and outlier discovery to improve estimation of the centroids of the generative distribution. The proposed algorithm consists of two stages.
Ville Hautamäki +4 more
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A Method for Measuring Parameters of Defective Ellipse Based on Vision
Sensors, 2023 Ellipse detection has a very wide range of applications in the field of object detection, especially in the geometric size detection of inclined microporous parts.
He Zhang +4 more
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Geometric Cover with Outliers Removal
, 2021 We study the problem of partial geometric cover, which asks to find the minimum number of geometric objects (unit squares and unit disks in this work) that cover at least (n-t) of n given planar points, where 0 ≤ t ≤ n/2. When t = 0, the problem is the classical geometric cover problem, for which many existing works adopt a general framework called the
Guo, Zhengyang, Li, Yi
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International Journal of Digital EarthIn the absence of in-situ data, satellite radar altimetry, critical for studies requiring water elevation data, faces challenges in outlier removal over reservoirs, influenced by surrounding land.
Natalya Ross +8 more
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Outlier removal in cryo-EM via radial profiles
Journal of Structural BiologyThe process of particle picking, a crucial step in cryo-electron microscopy (cryo-EM) image analysis, often encounters challenges due to outliers, leading to inaccuracies in downstream processing. In response to this challenge, this research introduces an additional automated step to reduce the number of outliers identified by the particle picker.
Lev Kapnulin +2 more
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TPDA2 ALGORITHM FOR LEARNING BN STRUCTURE FROM MISSING VALUE AND OUTLIERS IN DATA MINING
Jurnal Informatika, 2006 Three-Phase Dependency Analysis (TPDA) algorithm was proved as most efficient algorithm (which requires at most O(N4) Conditional Independence (CI) tests).
Benhard Sitohang, G.A. Putri Saptawati
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Applied Sciences, 2023 Machine learning is often used to predict crop yield based on the sowing date and weather parameters in non-irrigated crops. In the context of climate change, regression algorithms can help identify correlations and plan agricultural activities to ...
Alina Delia Călin +2 more
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Accuracy Enhancement of ASTER Global Digital Elevation Models Using ICESat Data
Remote Sensing, 2011 Global Digital Elevation Models (GDEM) are considered very attractive for current research and application areas due to their free and wide range accessibility.
Peter Reinartz, Hossein Arefi
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