Results 201 to 210 of about 584,789 (249)

An Equivalence between SILF-SVR and Ordinary Kriging

Neural Processing Letters, 2006
Support vector regression (SVR) is a powerful learning technique in the framework of statistical learning theory, while Kriging is a well-entrenched prediction method traditionally used in the spatial statistics field. However, the two techniques share the same framework of reproducing kernel Hilbert space.
Wensen An, Yanguang Sun
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Image restoration by fuzzy convex ordinary kriging

Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2002
Ordinary kriging and fuzzy sets are combined to derive a spatial filter for restoring degraded images. As kriging is a nonconvex estimation technique and negative kriging weights applied to image data can give estimates outside the range of pixel values. Convexity is therefore required in this image analysis to ensure no negative weights.
Tuan D. Pham, Michael Wagner 0004
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Texture Interpolation Using Ordinary Kriging

2005
We present a survey of the application of ordinary Kriging to texture interpolation using a variety of models that have been proposed to model the variogram of the image. The novelty of our approach is in the fully automated process of fitting the models to the data over a finite range of values.
Sunil Chandra, Maria Petrou, Roberta Piroddi   +2 more
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Image restoration by ordinary kriging with convexity

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
An ordinary kriging based approach for restoring degraded images is presented in this paper. Kriging is a nonconvex estimation technique and negative kriging weights applied to image data can give estimates outside the range of pixel values. Convexity is therefore required in this image analysis to ensure no negative weights.
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Conditioning of coefficient matrices of Ordinary Kriging

Mathematical Geology, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Fingerprint Database Reconstruction Method Based on Ordinary Kriging Algorithm for Indoor Localization

International Conference on Intelligent Transportation, Big Data and Smart City, 2019
Constructing a fingerprint database using the received signal strength is a widely used solution for indoor positioning to fit the positioning result online through matching the database with algorithm.
Puyu Wang, Zhihong Feng, Yan Tang, Yuzhi Zhang   +3 more
semanticscholar   +1 more source

Comparing Ordinary Kriging and Regression Kriging for Soil Properties in Contrasting Landscapes

Pedosphere, 2010
Abstract The accuracy between ordinary kriging and regression kriging was compared based on the combined consideration of sample size, spatial structure, and auxiliary variables (terrain indices and electromagnetic induction surveys) for a variety of soil properties in two contrasting landscapes (agricultural vs. forested).
Q. ZHU, H.S. LIN
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On the reduction of the ordinary kriging smoothing effect

2011
This study proposes a simple but novel and applicable approach to solve the problem of smoothing effect of ordinary kriging estimates. This approach is based on transformation equation in which Z scores are derived from ordinary kriging estimates and then rescaled by the standard deviation of sample data with addition of the mean value of original ...
Rezaee, H., Asghari, O., Yamamoto, J.K.
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Application of Ordinary Kriging for In Situ Site Characterization

2021
Application of geostatistical techniques for in situ site characterization has received much attention in the last couple of decades. Kriging is one of the popular and accurate geostatistical techniques for the interpolation of spatially varied random variables.
J. Rojimol, K. B. V. N. Phanindra, B. Umashankar   +2 more
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An Alternative Measure of the Reliability of Ordinary Kriging Estimates

Mathematical Geology, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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