Results 11 to 20 of about 2,216,546 (285)
Optimizing Inverse Distance Weighting with Particle Swarm Optimization [PDF]
Applied Sciences, 2020 Spatial analysis of hydrological data often requires the interpolation of a variable from point samples. Commonly used methods for solving this problem include Inverse Distance Weighting (IDW) and Kriging (KG). IDW is easily extensible, has a competitive
Alina Barbulescu +2 more
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Geosciences, 2021 The inverse-distance weighting interpolation is widely used in 3D geological modeling and directly affects the accuracy of models. With the development of “smart” or “intelligent” geology, classical inverse-distance weighting interpolation cannot meet ...
Zhen Liu +4 more
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Accelerating adaptive inverse distance weighting interpolation algorithm on a graphics processing unit [PDF]
Royal Society Open Science, 2017 This paper focuses on designing and implementing parallel adaptive inverse distance weighting (AIDW) interpolation algorithms by using the graphics processing unit (GPU). The AIDW is an improved version of the standard IDW, which can adaptively determine
Gang Mei, Liangliang Xu, Nengxiong Xu
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Inverse distance weighting attention [PDF]
CoRR, 2023 We report the effects of replacing the scaled dot-product (within softmax) attention with the negative-log of Euclidean distance. This form of attention simplifies to inverse distance weighting interpolation.
McCarter, Calvin
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Enhancement of inverse-distance-weighting 2D interpolation using accelerated decline [PDF]
Reports on Geodesy and Geoinformatics, 2023 Two-dimensional interpolation – or surface fitting – is an approximation tool with applications in geodetic datum transformations, terrain modelling and geoid determination.
Ruffhead Andrew Carey
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A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression [PDF]
Lecture Notes in Computer Science, 2020 Inverse Distance Weighting (IDW) is a widely adopted interpolation algorithm. This work presents a novel formulation for IDW which is derived from a weighted linear regression. The novel method is evaluated over study cases related to elevation data, climate and also on synthetic data.
Graçaliz Dimuro, Leonardo Emmendorfer
exaly +4 more sources
Improving SSA Predictions by Inverse Distance Weighting
Revstat Statistical Journal, 2013 This paper proposes a method of utilizing spatial information to improve predictions in one dimensional time series analysis using singular spectrum analysis (SSA).
Richard O. Awichi , Werner G. Müller
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A dynamic inverse distance weighting-based local face descriptor
Multimedia Tools and Applications, 2020 This paper proposes a novel high-performance dynamic inverse distance weighting based local descriptor (DIDWLD) for facial recognition. Studies proposed thus far have focused on finding local descriptors that can represent the texture of the face best ...
Çevik, Nazife
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Reduced Inverse Distance Weighting Interpolation for Painterly Rendering
, 2009 The interpolation problem of irregularly distributed data, in a multidimensional domain is considered. A modification of the inverse distance weighting interpolation formula. is proposed; making computation time independent of the number of data, points.
Petkov, Nicolai +3 more
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Delaunay Graph Based Inverse Distance Weighting for Fast Dynamic Meshing
Communications in Computational Physics, 2017 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 ...
Yibin Wang, Ning Qin, Ning Zhao
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