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Regularized meshless method

Known as: Regularied meshless method 
In numerical mathematics, the regularized meshless method (RMM), also known as the singular meshless method or desingularized meshless method, is a… Expand
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Related topics

Related topics

12 relations
Boundary element methodBoundary knot methodBoundary particle methodCollocation method
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Broader (1)

Numerical analysis

Papers overview

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Highly Cited
2015
Highly Cited
2015
Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT
In this letter, an effective enhancement method for remote sensing images is introduced to improve the global contrast and the… Expand
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2014
2014
MMSE precoding for multiuser MISO downlink transmission with non-homogeneous user SNR conditions
This paper is concerned with linear precoding designs for multiuser downlink transmissions. We consider a multiple-input single… Expand
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2013
2013
An iterative SVM approach to feature selection and classification in high-dimensional datasets
Support vector machine (SVM) is the state-of-the-art classification method, and the doubly regularized SVM (DrSVM) is an… Expand
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Highly Cited
2013
Highly Cited
2013
Joint estimation of age, gender and ethnicity: CCA vs. PLS
Human age, gender and ethnicity are valuable demographic information about a population. These measures are also considered… Expand
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Highly Cited
2012
Highly Cited
2012
Large System Analysis of Linear Precoding in Correlated MISO Broadcast Channels Under Limited Feedback
In this paper, we study the sum rate performance of zero-forcing (ZF) and regularized ZF (RZF) precoding in large MISO broadcast… Expand
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2011
2011
Regularized meshless method for nonhomogeneous problems
The regularized meshless method is a novel boundary-type meshless method but by now has largely been confined to homogeneous… Expand
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Highly Cited
2010
Highly Cited
2010
Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property
Orthogonal matching pursuit (OMP) is the canonical greedy algorithm for sparse approximation. In this paper we demonstrate that… Expand
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Highly Cited
2009
Highly Cited
2009
Classification of Hyperspectral Images With Regularized Linear Discriminant Analysis
This paper analyzes the classification of hyperspectral remote sensing images with linear discriminant analysis (LDA) in the… Expand
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Highly Cited
2004
Highly Cited
2004
Positivity conditions in meshless collocation methods
Collocation meshless methods are conceptually simple, easy-to-implement and fast numerical methods. The robustness of collocation… Expand
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Highly Cited
2001
Highly Cited
2001
Meshless parameterization and surface reconstruction
Abstract This paper proposes a method called meshless parameterization , for parameterizing and triangulating “single patch… Expand
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