[PDF] Top 20 3D Deformation Using Moving Least Squares
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3D Deformation Using Moving Least Squares
... deforming 3d models using point handles. The deformation is based on Moving Least Square: each point in space is transformed by a rigid or similarity transformation that tries to map ... See full document
7
Moving Least Squares and Gauss Legendre for Solving the Integral Equations of the Second Kind
... The moving least square (MLS) [12] is an approximation method of constructing continuous functions from a set of unorganized sampled point values based on the calculation of a weighted least ... See full document
8
Matrices Associated with Moving Least Squares Approximation and Corresponding Inequalities
... Matrices Associated with Moving Least-Squares Approximation and Corresponding Inequalities Svetoslav Nenov, Tsvetelin Tsvetkov Department of Mathematics, University of Chemical Technolog[r] ... See full document
9
An Objective Wavelength Selection Method Based on Moving Window Partial Least Squares for Near-Infrared Spectroscopy
... AbstractโAn objective wavelength selection method is proposed for near-infrared (NIR) spectroscopy mainly to overcome the possible subjectivity introduced by moving window partial least squares ... See full document
7
A New Technique for Image Zooming Based on the Moving Least Squares
... In this paper, we proposed an image magnification method based on moving least squares for gray-scale and color image. In this method; when weight function is quadratic spline, the results are ... See full document
5
The use of moving least squares for a smooth approximation of sampled data
... B e c a u se an a d a p tiv e tim e -in te g ra tio n scheme was applied in the numerical simulation and due to the m easurem ent noise (Figure 9), the m in im iz e d fu n c tio n / ( p ) c o n ta in e d ran d o m ... See full document
17
Convergence rate for the moving least squares learning with dependent sampling
... The least-squares (LS) method is an important global approximate method based on the regular or concentrated data sample ...The moving least-squares (MLS) method was introduced by ... See full document
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Data filtering-based least squares iterative algorithm for Hammerstein nonlinear systems by using the model decomposition
... three-stage least squares iterative identification algorithm for output error moving average systems using the model decomposition [21]; Bai and Liu presented a normalized iterative method to ... See full document
17
On the Equivalence of the Weighted Least Squares and the Generalised Least Squares Estimators, with Applications to Kernel Smoothing
... The plan of the paper is as follows: the main theorem, establishing the equivalence between GLSE and WLSE is stated in section 2 and proved in the appendix. Section 3 reviews local polynomial regression in a time series ... See full document
23
One-dimensional modeling of aquifer contamination using a meshless method
... Materials and Methods: In this research, the transmission of pollution, identification of transmission and diffusion processes, and its modeling were studied in order to assist the practitioners in adopting appropriate ... See full document
6
Shrinkage, pretest and LASSO estimators in parametric and semiparametric linear models
... about fii may benefit from moving the least squares estimate for the full model in the direction of the least squares estimate without the nuisance variables, or from dropping the nuis[r] ... See full document
186
Approximation Effects Due to Diffuse Derivatives from Polynomial Basis
... the moving least squares, letโs see a gist of exactly what a weighted least square(WLS) ...traditional least squares minimization is multiplied by a corresponding weight ... See full document
7
Elastoplastic Large Deformation Using Meshless Integral Method
... large deformation elasto- plastic constitutive equations are ...the moving least-squares approximation (MLSA) for approximating the displacement, strain, and stress fields over the problem ... See full document
22
Coupling of adaptive refinement with variational multiscale element free Galerkin method for high gradient problems
... The meshfree methods [1,2,3,4,5,6,7,8,9] have been proposed as an alternative numerical techniques to the FEM. This class of numerical methods solve the problem through constructing the function based on a series of ... See full document
37
Scattered data fitting using least squares with interpolation method
... use least squares method ...traditional least squares method may lose accuracy at the points which are not ...called least squares with ... See full document
8
Some aspects of progeny testing Southdown rams : a thesis presented in part fulfilment of the requirements for the degree of Master of Agricultural Science in Massey University of Manawatu, New Zealand
... Least squares means, least squares deviations of sire groups from the means, least squares differences due to birthrank and sex, and partial regression coefficients for the characteristi[r] ... See full document
14
Using Least Squares Support Vector Machines for Frequency Estimation
... Frequency estimation is transformed to a pattern recognition problem, and a least squares support vector machine (LS-SVM) estimator is derived. The estimator can work efficiently without the need of ... See full document
5
An inverse problem formulation methodology for stochastic models
... where ๐ง ๐ is a realization from a standard normal variable (i.e., ๐ ๐ โผ ๐ฉ (0, 1)) and ๐ is the constant variability. The magnitude of ๐ determines how much noise is added. A low value indicates that the data points tend ... See full document
27
On the Consistency of Feature Selection using Greedy Least Squares Regression
... The greedy algorithm analysis employed in this paper is a combination of an observation by Tropp (2004, see Lemma 11) and some technical lemmas for the behavior of greedy least squares regression by Zhang ... See full document
14
Predicting the quality of ryegrass using hyperspectral imaging
... studies using destruc- tive methods, although this was dependent on the ryegrass cultivar, plant age and time of day [20, 26, ...studies using destructive measures [20, 25, 26, ... See full document
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