Fast automatic knot placement method for accurate B-spline curve fitting
The choice of knot vector has immense influence on the resulting accuracy of a B-spline
approximation of a curve. However, despite the significance of this problem and the various …
approximation of a curve. However, despite the significance of this problem and the various …
Dynamic tensor recommender systems
Recommender systems have been extensively used by the entertainment industry, business
marketing and the biomedical industry. In addition to its capacity of providing preference …
marketing and the biomedical industry. In addition to its capacity of providing preference …
Knot calculation for spline fitting via sparse optimization
Curve fitting with splines is a fundamental problem in computer-aided design and
engineering. However, how to choose the number of knots and how to place the knots in …
engineering. However, how to choose the number of knots and how to place the knots in …
Selecting the right number of knots for B-spline parameterization of the dielectric functions in spectroscopic ellipsometry data analysis
DV Likhachev - Thin Solid Films, 2017 - Elsevier
B-spline representation of the dielectric functions provides many theoretical and practical
benefits for material modeling in spectroscopic ellipsometry. However, the number of knots …
benefits for material modeling in spectroscopic ellipsometry. However, the number of knots …
Nonlinear curve fitting to stopping power data using RBF neural networks
This paper presents a novel approach for fitting experimental stopping power data to a
simple empirical formula. The unknown complex nonlinear stopping power function is …
simple empirical formula. The unknown complex nonlinear stopping power function is …
Reconstruction of B-spline curves and surfaces by adaptive group testing
AN Ravari, HD Taghirad - Computer-Aided Design, 2016 - Elsevier
Point clouds as measurements of 3D sensors have many applications in various fields such
as object modeling, environment mapping and surface representation. Storage and …
as object modeling, environment mapping and surface representation. Storage and …
Adaptive nonparametric density estimation with b-spline bases
Y Zhao, M Zhang, Q Ni, X Wang - Mathematics, 2023 - mdpi.com
Learning density estimation is important in probabilistic modeling and reasoning with
uncertainty. Since B-spline basis functions are piecewise polynomials with local support …
uncertainty. Since B-spline basis functions are piecewise polynomials with local support …
Dynamic estimation of specific fluxes in metabolic networks using non-linear dynamic optimization
Background Metabolic network models describing the biochemical reaction network and
material fluxes inside microorganisms open interesting routes for the model-based …
material fluxes inside microorganisms open interesting routes for the model-based …
Minimum-time optimal control for vehicles with active rear-axle steering, transfer case and variable parameters
T Sedlacek, D Odenthal, D Wollherr - Vehicle system dynamics, 2021 - Taylor & Francis
When aiming to improve the performance of industrial sports cars at the limits of driving
dynamics, the passive vehicle setup should be tuned under consideration of the actuator …
dynamics, the passive vehicle setup should be tuned under consideration of the actuator …
Knot calculation for spline fitting based on the unimodality property
J Luo, H Kang, Z Yang - Computer Aided Geometric Design, 2019 - Elsevier
Determining the knot number and location is the most challenging problem in spline fitting.
In this paper, we proposed a two-stage framework for calculating knots in spline fitting based …
In this paper, we proposed a two-stage framework for calculating knots in spline fitting based …