Results 251 to 260 of about 90,750 (294)

Bayesian Radial Basis Function Interpolation

1992
Interpolation using radial basis functions in one or more dimensions has become a subject of much research (e.g. Buhmann and Powell [1], Foley [2]). It is an example of inference problems involving incomplete and/or noisy data. All such inference problems ought to be analysed with ordinary (Bayesian) probability calculus, which is the only method of ...
John Skilling, Sibusiso Sibisi
openaire   +1 more source

Analysis of radial basis function interpolation approach

Applied Geophysics, 2013
The radial basis function (RBF) interpolation approach proposed by Freedman is used to solve inverse problems encountered in well-logging and other petrophysical issues. The approach is to predict petrophysical properties in the laboratory on the basis of physical rock datasets, which include the formation factor, viscosity, permeability, and molecular
You-Long Zou, Fa-Long Hu, Can-Can Zhou, Chao-Liu Li, Keh-Jim Dunn   +4 more
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Referenceless thermometry using radial basis function interpolation

2014 World Symposium on Computer Applications & Research (WSCAR), 2014
The Proton Resonance Frequency (PRF) shift provide a method for temperature change measurements during thermotherapy. Conventional PRF thermometry works subtracting one or multiple baseline images. The method leads to artifacts caused by tissue motion and frequency drift.
Agnello Luca, Militello Carmelo, Gagliardo Cesare, Vitabile Salvatore   +3 more
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Multivariate interpolation using radial basis function networks

International Journal of Data Mining, Modelling and Management, 2009
There is, hitherto, no efficient method to interpolate multivariate functions, for especially dynamic problems in which new training data are often added in real-time. In order to construct an efficient method, this paper considers local interpolation RBF networks, where artificial neural network approach and instance-based learning are combined.
Dang Thi Thu Hien, Hoang Xuan Huan, Huu Tue Huynh   +2 more
openaire   +1 more source

Radial Basis Function Interpolation for Referenceless Thermometry Enhancement

2015
MRgFUS (Magnetic Resonance guided Focused UltraSound) is a new and non-invasive technique to treat different diseases in the oncology field, which uses Focused Ultrasound (FUS) to induce necrosis in the lesion. Temperature change measurements during ultrasound thermo-therapies can be performed through magnetic resonance monitoring by using Proton ...
Agnello L, Militello C, Gagliardo C, Vitabile S   +3 more
openaire   +1 more source

Interpolation by Polynomials and Radial Basis Functions on Spheres

Constructive Approximation, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
von Golitschek, M., Light, W. A.
openaire   +1 more source

Surface interpolation with radial basis functions for medical imaging

IEEE Transactions on Medical Imaging, 1997
Radial basis functions are presented as a practical solution to the problem of interpolating incomplete surfaces derived from three-dimensional (3-D) medical graphics. The specific application considered is the design of cranial implants for the repair of defects, usually holes, in the skull.
J C, Carr, W R, Fright, R K, Beatson
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Almost Interpolation and Radial Basis Functions

2003
After a review of some basic facts for Radial Basis Interpolation, we introduce the idea of almost interpolation for RBF, and show that in this setting it is possible to enlarge quite a lot the set of basic radial functions that can be used as basis. Our main result provides a Schoenberg-Whitney type condition for almost interpolation sets.
openaire   +1 more source

Stability of Spherical Hermite Interpolation Using Radial Basis Function

Journal of Computational Analysis and Applications, 2000
Summary: We give a lower bound for the least eigenvalue of the interpolation matrix arising from Hermite interpolation by a positive definite kernel on the sphere \(S^{d-1}\), determining the main factor for the stability of the interpolation.
Luo, Z., Levesley, J.
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Lebesgue function for multivariate interpolation by radial basis functions

Applied Mathematics and Computation, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mehri, Bahman, Jokar, Sadegh
openaire   +2 more sources