Search Results - INTERPOLATION METHODS

Iterative Image Interpolation vs. Traditional Interpolation Methods by Samia Lazar

Subjects: “…traditional interpolation methods…”
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Fuzzy Interpolation and Other Interpolation Methods Used in Robot Calibrations by Ying Bai, Nailong Guo, Gerald Agbegha

“…A novel interpolation algorithm, fuzzy interpolation, is presented and compared with other popular interpolation methods widely implemented in industrial robots calibrations and manufacturing applications. …”
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Variability of Interpolation Errors and Mutual Enhancement of Different Interpolation Methods by Yunxia He, Mingliang Luo, Hui Yang, Leichao Bai, Zhongsheng Chen

Subjects: “…spatial interpolation methods…”
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Comparison of Spherical Data Interpolation Methods for Spacecraft Radiation Pressure Characteristics Interpolation by Mateusz Sochacki, Olgierd Skromak

Subjects: “…approximation methods…”
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Evaluation of Interpolation Methods for Refractivity Mitigation by Raquel Luján, Luis García-Asenjo, Sergio Baselga

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Interpolation Methods for Stochastic Processes Spaces by E. Nursultanov, T. Aubakirov

“…Interpolation method for generously monotonous processes is entered. …”
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Rainfall variation by geostatistical interpolation method by Glauber Epifanio Loureiro, Lindemberg Lima Fernandes

“…The information was systemized and treated with Hydrologic methods such as method of contour and interpolation for ordinary kriging. …”
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Interpolation method for quaternionic-Bezier curves by Severinas Zube

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A method of summability of Lagrange interpolation by Detlef H. Mache

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Linear Interpolation Method for Adversarial Attack by CHEN Jun, ZHOU Qiang, BAO Lei, TAO Qing

“…Deep neural networks exhibit significant vulnerability in the face of adversarial examples and are prone to attacks.The construction of adversarial examples can be abstracted as an optimization problem that maximizes the objective function.How-ever,gradient-based iterative methods often face convergence challenges when dealing with such optimization problems.These methods primarily rely on the gradient sign for iterative updates,neglecting the magnitude and direction information of the gra-dient,which can lead to algorithm instability.Studies have shown that the I-FGSM adversarial attack algorithm originates from the stochastic projection subgradient method in the field of optimization.Literature has indicated that in optimization problems,using linear interpolation methods to replace stochastic projection subgradient methods can achieve superior performance.Based on this,this paper proposes a novel linear interpolation-based adversarial attack method,which applies the interpolation strategy to adversarial attacks and replaces the traditional sign gradient with the actual gradient.Theoretically,the proposed linear interpolation adversarial attack algorithm is proved can achieve the optimal individual convergence rate in general convex optimization pro-blems,thereby overcoming the convergence difficulties of sign gradient-based algorithms.Experimental results confirm that the linear interpolation method,as a universal and efficient strategy,when combined with gradient-based adversarial attack methods,can form new attack algorithms.Compared to the original algorithms,these new algorithms significantly increase the success rate of attacks while maintaining the imperceptibility of adversarial examples and exhibit high stability during the iterative process.…”
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The Lienhard Interpolation LQ,p - Method by J. Matušů, M. Matušů

“…This paper deals with a generalization of the Lienhard interpolation method from a new point of view. The invariance of the interpolation curve with respect to a change of orientation in the order of supporting points is proved.…”
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On computational complexity in solving equations by interpolation methods by Ion Păvăloiu

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Comparison of interpolation methods for raster images scaling by Trubakov A.O., Seleykovich M.O.

“…Among them are nearest neighbor algorithm, bilinear interpolation, bicubic interpolation. We consider our research methodology, and then we tell about result of algorithms comparison. …”
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Comparison Study on Linear Interpolation and Cubic B-Spline Interpolation Proper Orthogonal Decomposition Methods by Xiaolong Wang, Yi Wang, Zhizhu Cao, Weizhong Zou, Liping Wang, Guojun Yu, Bo Yu, Jinjun Zhang

“…Both results of the two methods are satisfying, and the results of cubic B-spline interpolation are more accurate than those of linear interpolation. …”
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Quantum realization of the bilinear interpolation method for NEQR by Ri-Gui Zhou, Wenwen Hu, Ping Fan, Hou Ian

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A Smoothening Method for the Piecewise Linear Interpolation by Beong In Yun

“…We propose a method to smoothen a piecewise linear interpolation at a small number of nodes on a bounded interval. …”
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Dispersion Curve Interpolation Based on Kriging Method by Han Zhang, You Tian, Pengfei Zhao

“…The results show that the interpolation of dispersion curves based on the kriging method is feasible. …”
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A comparative analysis of different DEM interpolation methods by P.V. Arun

Subjects: “…Interpolation methods…”
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A comparative analysis of different DEM interpolation methods by Pattathal Vijayakumar Arun

Subjects: “…interpolation methods…”
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Refined Assessment Method of Offshore Wind Resources Based on Interpolation Method by Wenchuan Meng, Zaimin Yang, Zhi Rao, Shuang Li, Xin Lin, Jingkang Peng, Yuwei Cao, Yingquan Chen

“…This paper compares the interpolation effects and accuracy of Linear, Cubic, and Bicubic interpolation methods on wind speed data, with the optimal method subsequently applied to evaluate wind resources in the South China Sea for 2023. …”
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