Abstract Sketching Image Morphing Using Moving Least Squares [PDF]
, 2008 Image morphing has received much attention in recent years. It has proven to be a powerful tool for visual effects in film and television, depicting the fluid transformation of one digital image into another.
Min Meng
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Toward approximate moving least squares approximation with irregularly spaced centers [PDF]
, 2004 . The radial basis function interpolant is known to be the best approximation to a set of scattered data when the error is measured in the native space norm.
Jack G. Zhang, Gregory E. Fasshauer
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A framework for moving least squares method with total variation minimizing regularization [PDF]
, 2018 Bregman iteration; Denoising; Moving least squares; Total ...
윤정호, 이연주
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A GALERKIN APPROXIMATION METHOD INCLUDING SPACE DIMENSIONAL REDUCTION - APPLIED FOR SOLUTION OF A HEAT CONDUCTION EQUATION [PDF]
Applied Computer Science, 2012 A multivariate data fitting procedure, based on the Galerkin minimization method, is studied in this paper. The main idea of the developed approach consists in projecting the set of data points from the original, higherdimensional space, onto a line ...
Krzysztof NAKONIECZNY
doaj
Least-Squares Parameter Estimation Algorithm for a Class of Input Nonlinear Systems
Journal of Applied Mathematics, 2012 This paper studies least-squares parameter estimation algorithms for input nonlinear systems, including the input nonlinear controlled autoregressive (IN-CAR) model and the input nonlinear controlled autoregressive autoregressive moving average (IN ...
Weili Xiong, Wei Fan, Rui Ding
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Sensors, 2015 Model performance of the partial least squares method (PLS) alone and bagging-PLS was investigated in online near-infrared (NIR) sensor monitoring of pilot-scale extraction process in Fructus aurantii.
Xiaoning Pan +6 more
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Moving least squares reconstruction for B-spline Material Point Method [PDF]
, 2019 The paper shows a moving least squares reconstruction technique applied to the B-spline Material Point Method (B-spline MPM). B-spline MPM have shown to reduce the grid-crossing errors inherent in the original Material Point Method. However, in the large
Vuik, Cornelis +14 more
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Learning performance of regularized moving least square regression
Journal of Computational and Applied Mathematics, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hongzhi Tong, Qiang Wu 0003
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Global Search Strategies for Solving Multilinear Least-Squares Problems
Sultan Qaboos University Journal for Science, 2012 The multilinear least-squares (MLLS) problem is an extension of the linear least-squares problem. The difference is that a multilinear operator is used in place of a matrix-vector product.
Mats Andersson +3 more
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Adaptive Multi-Element Stochastic Moving Least Squares for Uncertainty Quantification [PDF]
A moving least squares-based uncertainty quantification method has been developed and applied to a variety of stochastic differential equations. The focus of the approaches presented in this thesis is on resolving the long-term integration problem ...
Banatehrani, Mohammad Mahdi
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