Results 21 to 30 of about 87,906 (288)
Shifted Linear Interpolation Filter
Journal of Signal and Information Processing, 2010 Linear interpolation has been adapted in many signal and image processing applications due to its simple implementa-tion and low computational cost. In standard linear interpolation the kernel is the second order B-spline β2(t). In this work we show that the interpolation error can be remarkably diminished by using the time-shifted B-spline β2(t)-Δas ...
Olkkonen, H., Olkkonen, Juuso, T.
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Advances in Mechanical Engineering, 2013 In general, proper orthogonal decomposition (POD) method is used to deal with single-parameter problems in engineering practice, and the linear interpolation is employed to establish the reduced model.
Xiaolong Wang +7 more
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Linear Interpolation Method for Adversarial Attack [PDF]
Jisuanji kexueDeep 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 ...
CHEN Jun, ZHOU Qiang, BAO Lei, TAO Qing
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Interpolation by bivariate linear splines
Journal of Computational and Applied Mathematics, 2000 The authors give a characterization of Lagrange interpolation sets for the spaces of continuous bivariate linear splines on regular triangulations. The characterization is based on a complete description of the zero sets of such splines.
Davydov, Oleg +2 more
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Bayesian interpolation with deep linear networks
Proceedings of the National Academy of Sciences, 2023 Characterizing how neural network depth, width, and dataset size jointly impact model quality is a central problem in deep learning theory. We give here a complete solution in the special case of linear networks with output dimension one trained using zero noise Bayesian inference with Gaussian weight priors and mean squared error as a negative log ...
Boris Hanin, Alexander Zlokapa
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Sparse-view tomography via displacement function interpolation
Visual Computing for Industry, Biomedicine, and Art, 2019 Sparse-view tomography has many applications such as in low-dose computed tomography (CT). Using under-sampled data, a perfect image is not expected.
Gengsheng L. Zeng
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Harmonic Vector Error Analysis Based on Lagrange Interpolation
IEEE Access, 2021 With the development of smart substations and the promotion of 61850 standards, sampling values based on IEC61850-9-2 have become an important part of smart substation construction.
Zhaoyun Zhang, Qitong Wang, Zhi Zhang
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Frontiers in Physiology, 2018 The purpose of this study is to quantitatively analyze the effect of an ectopic beat on heart rate variability (HRV) in the time domain, frequency domain, and in a non-linear analysis.
Ahyoung Choi, Hangsik Shin
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On Optimal Interpolation In Linear Regression
, 2021 25 pages, 7 figures, to appear in NeurIPS ...
Oravkin, E, Rebeschini, P
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STREAMFLOW REGIONALIZATION IN PIQUIRI RIVER BASIN [PDF]
Engenharia Agrícola, 2018 The objective of this study was to regionalize 7-day 10-year low flows, long-term annual mean, and 90% and 95% permanence flows from Piquiri (PR) river basin.
Fernanda C. Araujo +4 more
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