Geological Modeling Method Based on the Normal Dynamic Estimation of Sparse Point Clouds
Mathematics, 2021 The effect of geological modeling largely depends on the normal estimation results of geological sampling points. However, due to the sparse and uneven characteristics of geological sampling points, the results of normal estimation have great uncertainty.
Tiandong Shi, Deyun Zhong, Liguan Wang
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Flood Hazard Estimation under Nonstationarity Using the Particle Filter
Geosciences, 2020 The presence of the nonstationarity in flow datasets has challenged the flood hazard assessment. Nonstationary tools and evaluation metrics have been proposed to deal with the nonstationarity and guide the infrastructure design and mitigation measures ...
Cuauhtémoc Tonatiuh Vidrio-Sahagún +1 more
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Bootstrap BCa confidence intervals for a standardized mean difference in a paired samples design using a pooled standard deviation [PDF]
Tutorials in Quantitative Methods for PsychologyA standardized mean difference in a paired samples design using a pooled standard deviation, dp, requires knowledge of the population correlation, rho, in order to generate an accurate estimate of a noncentral t confidence interval (CI).
Fitts, Douglas A.
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6D Pose Estimation Method Using Curvature-Enhanced Point-Pair Features
IEEE Access, 2023 Pose estimation has garnered significant attention in recent years and has found extensive application in fields such as autonomous driving, robotics, and augmented reality.
Yufan Liu, Shouting Feng
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The American Commitment to Public Propoganda [PDF]
, 1966 Random set based methods have provided a rigorous Bayesian framework and have been used extensively in the last decade for point object estimation. In this paper, we emphasize that the same methodology offers an equally powerful approach to estimation of
Granström, Karl +3 more
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Point process stabilization methods and dimension estimation [PDF]
Discrete Mathematics & Theoretical Computer Science, 2008 We provide an overview of stabilization methods for point processes and apply these methods to deduce a central limit theorem for statistical estimators of dimension.
J. E. Yukich
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The Zero-Adjusted Log-Symmetric Distributions: Point and Intervalar Estimation [PDF]
Anais da Academia Brasileira de Ciências, 2023 In this paper, a new class of semi-continuous distributions called zero-adjusted log-symmetric is introduced and studied. Some properties and parameters estimation by maximum likelihood method are derived and confidence intervals (CIs) are developed.
DIEGO RISCO-COSAVALENTE +1 more
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On Transmuted Power Function Distribution: Characterization, Risk Measures, and Estimation
Journal of New Theory, 2021 Transmuted power function distribution is generated using the quadratic rank transmutation method based on the mixture of the distributions of two order statistics.
Caner Tanış
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Deep Learning-Based 6D Object Pose Estimation Method from Point Clouds [PDF]
Jisuanji gongcheng, 2021 Object pose estimation is a key technology required for enabling the robots to pick 3D objects in a cluttered environment. However, most of the existing deep learning methods for pose estimation rely heavily on the RGB information of the scene, which ...
LI Shaofei, SHI Zelin, ZHUANG Chungang
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Effect of Synchronizing Coordinated Base Stations on Phase Noise Estimation [PDF]
, 2013 In this paper, we study the problem of oscillator phase noise (PN) estimation in coordinated multi-point (CoMP) transmission systems. Specifically, we investigate the effect of phase synchronization between coordinated base stations (BSs) on PN ...
Eriksson, Thomas +2 more
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