Results 31 to 40 of about 67 (67)
In this paper, we study the regularization of 3D curves connecting two points. We propose an energy-based formulation which is an extension to 3D of the geodesic active contours introduced in 2D by Caselles et al. in 1997.
Alvarez, Luis, Luis Alvarez
core +1 more source
On Multi-Level Bases for Elliptic Boundary Value Problems [PDF]
We study the multi-level method for preconditioning a linear system arising from a Galerkin discretization method of an elliptic boundary value problem of order 2r. The solution is approximated in the spline space S 0 1 (4 n ) when r = 1 and S r\Gamma1
Paul Wenston +3 more
core +1 more source
Abstract Improving parental sensitivity is an important objective of interventions to support families. This study examined reliability and validity of parental sensitivity ratings using a novel package of an e‐learning tool and an interactive decision tree provided through a mobile application, called the OK! package.
Mirte L. Forrer +3 more
wiley +1 more source
A unified local convergence for Chebyshev-Halley-type methods in Banach space under weak conditions [PDF]
We present a unified local convergence analysis for Chebyshev-Halley- type methods in order to approximate a solution of a nonlinear equation in a Banach space setting. Our methods include the Chebyshev; Halley; super-Halley and other high order methods.
ARGYROS, Ioannis K., GEORGE, Santhosh
core
Approximation by Radial Basis Functions with Finitely Many Centers
: Interpolation by translates of "radial" basis functions \Phi is optimal in the sense that it minimizes the pointwise error functional among all comparable quasi--interpolants on a certain "native" space of functions F \Phi .
Schaback, Robert, Robert Schaback
core +1 more source
A method for the reconstruction of a smooth function from incomplete data by means of Schoenberg’s variation diminution and Hermite interpolation is presented.
Peter Massopust
core
Analysis of Curve Reconstruction by Meshless Parameterization
: This paper proposes and analyzes a method called meshless parameterization for reconstructing curves from unordered point samples. The method solves a linear system of equations based on convex combinations so as to map the sampled points into ...
Michael S. Floater
core
Two new nonparametric kernel distribution estimators based on a transformation of the data. [PDF]
Slaoui Y.
europepmc +1 more source
R 0 estimation for COVID-19 pandemic through exponential fit. [PDF]
Mingliang Z, Simos TE, Tsitouras C.
europepmc +1 more source
Natural alternatives for one dimensional median filtering
For practical purposes median smoothers have often been considered the basic components for the construction of simple non-linear smoothers for removing impulsive noise before any subsequent linear signal extraction from a sequence.
Rohwer, CH, Wild, M
core

