Results 11 to 20 of about 763,332 (302)
NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions [PDF]
IEEE International Conference on Computer Vision, 2023 We present a novel type of neural fields that uses general radial bases for signal representation. State-of-the-art neural fields typically rely on grid-based representations for storing local neural features and N-dimensional linear kernels for ...
Z. Chen +6 more
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Scaling of Radial Basis Functions [PDF]
IMA Journal of Numerical Analysis, 2022 This paper studies the influence of scaling on the behavior of radial basis function interpolation. It focuses on certain central aspects, but does not try to be exhaustive.
E. Larsson, R. Schaback
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Estimating diffusion propagator and its moments using directional radial basis functions. [PDF]
IEEE Trans Med Imaging, 2015 Ning L, Westin CF, Rathi Y.
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Global optimization via inverse distance weighting and radial basis functions [PDF]
Computational optimization and applications, 2019 Global optimization problems whose objective function is expensive to evaluate can be solved effectively by recursively fitting a surrogate function to function samples and minimizing an acquisition function to generate new samples.
A. Bemporad
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Surrogate-based optimisation using adaptively scaled radial basis functions
Applied Soft Computing, 2020 Aerodynamic shape optimisation is widely used in several applications, such as road vehicles, aircraft and trains. This paper investigates the performance of two surrogate-based optimisation methods; a Proper Orthogonal Decomposition-based method and a ...
Magnus Urquhart +2 more
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Stable computations with flat radial basis functions using vector-valued rational approximations [PDF]
Journal of Computational Physics, 2016 One commonly finds in applications of smooth radial basis functions (RBFs) that scaling the kernels so they are 'flat' leads to smaller discretization errors.
G. Wright, B. Fornberg
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Trefftz radial basis functions (TRBF)
Computer Assisted Methods in Engineering and Science, 2022 The TRBF's are radial functions satisfying governing equation in the domain. They can be used as interpolation functions of the field variables especially in boundary methods.
Vladimir Kompis +3 more
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Radial basis function assisted turbo equalisation [PDF]
VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026), 2002 This paper presents a turbo equalization (TEQ) scheme, which employs a radial basis function (RBF)-based equalizer instead of the conventional trellis-based equalizer of Douillard et al. (1995). Structural, computational complexity, and performance comparisons of the RBF-based and trellis-based TEQs are provided.
Yee, M.S., Yeap, B.L., Hanzo, L.
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Engineering Reports, 2019 Radial basis functions (RBFs), first proposed for interpolation of scattered data, have gotten the scientific community interest in the past two decades, with applications ranging from interpolation with the dual reciprocity approach of the boundary ...
Fernando César Meira Menandro
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Radial Basis Functions Approximation Method for Time-Fractional FitzHugh–Nagumo Equation
Fractal and Fractional, 2023 In this paper, a numerical approach employing radial basis functions has been applied to solve time-fractional FitzHugh–Nagumo equation. Spatial approximation is achieved by combining radial basis functions with the collocation method, while temporal ...
Mehboob Alam +4 more
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