Results 11 to 20 of about 18,020 (238)
Global smoothness preservation and the variation-diminishing property
Journal of Inequalities and Applications, 1999 In the center of our paper are two counterexamples showing the independence of the concepts of global smoothness preservation and variation diminution for sequences of approximation operators.
Gavrea Ioan +4 more
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A Robust Skeletonization Method for High-Density Fringe Patterns in Holographic Interferometry Based on Parametric Modeling and Strip Integration [PDF]
Journal of ImagingAccurate displacement field measurement by holographic interferometry requires robust analysis of high-density fringe patterns, which is hindered by speckle noise inherent in any interferogram, no matter how perfect. Conventional skeletonization methods,
Sergey Lychev, Alexander Digilov
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Sensors, 2021 Low-contrast or uneven illumination in real-world images will cause a loss of details and increase the difficulty of pattern recognition. An automatic image illumination perception and adaptive correction algorithm, termed as GLAGC, is proposed in this ...
Wenyong Yu +4 more
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Complete Approximations by Multivariate Generalized Gauss-Weierstrass Singular Integrals
Moroccan Journal of Pure and Applied Analysis, 2021 This research and survey article deals exclusively with the study of the approximation of generalized multivariate Gauss-Weierstrass singular integrals to the identity-unit operator.
Anastassiou George A.
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 This article presents a novel global gradient sparse and nonlocal low-rank tensor decomposition model with a hyper-Laplacian prior for hyperspectral image (HSI) superresolution to produce a high-resolution HSI (HR-HSI) by fusing a low-resolution HSI (LR ...
Yidong Peng +3 more
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Global smoothness preservation by multivariate singular integrals [PDF]
Bulletin of the Australian Mathematical Society, 2000 By using various kinds of moduli of smoothness, it is established that the multivariate variants of the well-known singular integrals of Picard, Poisson-Cauchy, Gauss-Weierstrass and their Jackson-type generalisations satisfy the “global smoothness preservation” property. The results are extensions of those proved by the authors for the univariate case.
Anastassiou, George A., Gal, Sorin G.
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Spectral Generalized Multi-Dimensional Scaling [PDF]
, 2013 Multidimensional scaling (MDS) is a family of methods that embed a given set of points into a simple, usually flat, domain. The points are assumed to be sampled from some metric space, and the mapping attempts to preserve the distances between each pair ...
Aflalo, Yonathan +2 more
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On global smoothness preservation in complex approximation [PDF]
Annales Polonici Mathematici, 2002 For a function \(f:\mathbb R^m\to\mathbb R\), set \(\Delta_h^rf(x)=\sum_{i=0}^r(-1)^{r-i}\binom{r}{i} f(x+rh)\), and define the \(r\)th \(L^s\)-modulus of smoothness over \(\mathbb R^m\) by \[ \omega_r(f;\delta)_s: =\sup\{\|\Delta_h^rf(\cdot)\|_{L^s(\mathbb R^m)}; |h|\leq\delta\}, \] where \(r\in\mathbb N\), \(x,h,\delta\in\mathbb R^m\), \(\delta>0\), \
Anastassiou, George A., Gal, Sorin G.
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Regularity of the Einstein Equations at Future Null Infinity [PDF]
, 2009 When Einstein's equations for an asymptotically flat, vacuum spacetime are reexpressed in terms of an appropriate conformal metric that is regular at (future) null infinity, they develop apparently singular terms in the associated conformal factor and ...
Andersson L +10 more
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Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation [PDF]
, 2010 We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into $K$ clusters and represents each cluster by a simple prototype (e.g., piecewise constant).
Abraham +23 more
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