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Human gloss perception reproduced by tiny neural networks
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A Bilinear Sparse Domination for the Maximal Singular Integral Operators with Rough Kernels
Journal of Geometric Analysis, 2023Let Ω\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Omega $$\end ...
Xiangxing Tao, G. Hu
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Quantitative Weighted Bounds for the q-Variation of Singular Integrals with Rough Kernels
Journal of Fourier Analysis and Applications, 2020In this paper, we study the quantitative weighted bounds for the q-variational singular integral operators with rough kernels, a stronger nonlinearity than the maximal truncations. The main result is for the truncated singular integrals itself ‖Vq{TΩ,ε}ε>
Yanping Chen, G. Hong, Ji Li
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Quantitative weighted bounds for Calderón commutators with rough kernels
Studia Mathematica, 2020We consider weighted $L^p(w)$ boundedness ...
Yanping Chen, Ji Li
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American Society of Agricultural and Biological Engineers. Transactions, 2021
HighlightsX-ray imaging allows visualization of the fissuring that occurs at various drying air conditions.Drying air conditions that create severe intra-kernel material state gradients during drying result in kernel fissuring.The glass transition ...
Z. Odek, T. Siebenmorgen, G. Atungulu
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HighlightsX-ray imaging allows visualization of the fissuring that occurs at various drying air conditions.Drying air conditions that create severe intra-kernel material state gradients during drying result in kernel fissuring.The glass transition ...
Z. Odek, T. Siebenmorgen, G. Atungulu
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Integral operators with rough kernels in variable Lebesgue spaces
Acta Mathematica Hungarica, 2019We study integral operators with kernels K(x,y)=k1(x-A1y)⋯km(x-Amy),\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek ...
M. Urciuolo, L. Vallejos
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Learning Operator-Valued Kernels From Multilabel Datesets With Fuzzy Rough Sets
IEEE transactions on fuzzy systemsIn multilabel learning, the precise mining and appropriate application of label correlation can improve the effectiveness and generalization of prediction models.
Zhenxin Wang, Degang Chen, Xiaoya Che
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Regularity for fully nonlinear nonlocal parabolic equations with rough kernels
, 2014We prove space and time regularity for solutions of fully nonlinear parabolic integro-differential equations with rough kernels. We consider parabolic equations $$u_t = \mathrm{I}u$$ut=Iu, where $$\mathrm{I}$$I is translation invariant and elliptic with ...
J. Serra
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Hardy-type operators with rough kernels on central Morrey space with variable exponent
Advances in Operator Theory, 2023Chenchen Niu, Hongbin Wang
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