Results 241 to 250 of about 2,216,546 (285)
Accounting for Human Movement to Improve Exposure-Health Models
Tahir H +5 more
europepmc +1 more source
Active learning for regression by inverse distance weighting
This paper proposes an active learning (AL) algorithm to solve regression problems based on inverse-distance weighting functions for selecting the feature vectors to query. The algorithm has the following features: (i) supports both pool-based and population-based sampling; (ii) is not tailored to a particular class of predictors; (iii) can handle ...
Alberto Bemporad
exaly +5 more sources
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An adaptive inverse-distance weighting spatial interpolation technique
Computers and Geosciences, 2008One of the most frequently used deterministic models in spatial interpolation is the inverse-distance weighting (IDW) method. It is relatively fast and easy to compute, and straightforward to interpret. Its general idea is based on the assumption that the attribute value of an unsampled point is the weighted average of known values within the ...
David W Wong
exaly +4 more sources
Pollution models and inverse distance weighting: Some critical remarks
Computers and Geosciences, 2013When evaluating the impact of pollution, measurements from remote stations are often weighted by the inverse of distance raised to some nonnegative power (IDW). This is derived from Shepard's method of spatial interpolation (1968). The paper discusses the arbitrary character of the exponent of distance and the problem of monitoring stations that are ...
Louis de Mesnard
exaly +4 more sources
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
openaire +2 more sources
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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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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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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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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