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Delaunay Graph Based Inverse Distance Weighting for Fast Dynamic Meshing
Communications in Computational Physics, 2017 Summary: A novel mesh deformation technique is developed based on the Delaunay graph mapping method and the inverse distance weighting (IDW) interpolation. The algorithm maintains the advantages of the efficiency of Delaunay graph mapping mesh deformation while it also possesses the ability of better controlling the near surface mesh quality.
Wang, Yibin, Qin, Ning, Zhao, Ning
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Integrating data-to-data correlation into inverse distance weighting
Computational Geosciences, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhanglin Li +4 more
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Privacy-Preserving Inverse Distance Weighted Interpolation
Arabian Journal for Science and Engineering, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tuğrul, Bülent, Polat, Hüseyin
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Inverse of the distance matrix of a weighted cactoid digraph
Applied Mathematics and Computation, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hui Zhou 0004, Qi Ding, Ruiling Jia
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Multidimensional scaling and inverse distance weighting transform for image processing of hydrogeological structure in rock mass [PDF]
Journal of Hydrology, 2011 A new imaging method based on the multidimensional scaling (MDS) and inverse distance weighting (IDW) transform is proposed in this study. This method aims to identify, characterize and process an image of the preferential flow path in a rock mass, which
Mohd Ashraf Mohamad Ismail
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Inverse Sparse Tracker With a Locally Weighted Distance Metric
IEEE Transactions on Image Processing, 2015Sparse representation has been recently extensively studied for visual tracking and generally facilitates more accurate tracking results than classic methods. In this paper, we propose a sparsity-based tracking algorithm that is featured with two components: 1) an inverse sparse representation formulation and 2) a locally weighted distance metric.
Dong Wang 0004 +3 more
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Denoising Using Inverse-Distance Weighting with Sparse Approximation
2016 IEEE International Symposium on Multimedia (ISM), 2016Efficient image reconstruction, which removes high-density impulse noise from a single corrupted image, is the key technology of computer-vision systems such as for people counting, crowd analysis, action recognition, and human tracking. Recently, a surge in state-of-the-art sparse approximation approaches has occurred in the area of impulse noise ...
Bo-Hao Chen +2 more
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Regression-Based Inverse Distance Weighting With Applications to Computer Experiments
Technometrics, 2011Inverse distance weighting (IDW) is a simple method for multivariate interpolation but has poor prediction accuracy. In this article we show that the prediction accuracy of IDW can be substantially improved by integrating it with a linear regression model.
V. Roshan Joseph, Lulu Kang
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Improvement on inverse distance weighted interpolation for ore reserve estimation
2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010In order to improve accuracy of estimation for ore reserves and average grade, it is important to select suitable interpolation method. Firstly, traditional inverse distance weighted method is analyzed and grade estimation model is improved. Specifically, irregular ellipsoid interpolation model is put forward, which is suitable for vein thin ore body ...
Zhongxue Li +3 more
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Constrained inverse minimum flow problems under the weighted Hamming distance
Theoretical Computer Science, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yong Jiang +3 more
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