Results 11 to 20 of about 248,546 (297)
Singular Integrals With Rough Kernels
Canadian Mathematical Bulletin, 2004 AbstractIn this paper we establish the Lp boundedness of a class of singular integrals with rough kernels associated to polynomial mappings.
Al-Salman, Ahmad, Pan, Yibiao
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A Remark on Multilinear Singular Integrals with Rough Kernels [PDF]
Journal of Mathematical Analysis and Applications, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pan, Yibiao, Wu, Qiang, Yang, Dachun
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Noncommutative maximal operators with rough kernels [PDF]
, 2022 This paper is devoted to the study of noncommutative maximal operators with rough kernels. More precisely, we prove the weak type $(1,1)$ boundedness for noncommutative maximal operators with rough kernels.
Lai, Xudong
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THE SPECTRUM OF RANDOM KERNEL MATRICES: UNIVERSALITY RESULTS FOR ROUGH AND VARYING KERNELS [PDF]
Random Matrices: Theory and Applications, 2013 We consider random matrices whose entries are [Formula: see text] or f(‖Xi – Xj‖2) for iid vectors Xi ∈ ℝp with normalized distribution. Assuming that f is sufficiently smooth and the distribution of Xi's is sufficiently nice, El Karoui [The spectrum of Kernel random matrices, Ann.
Do, Yen, Vu, Van
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A PARABOLIC SINGULAR INTEGRAL OPERATOR WITH ROUGH KERNEL [PDF]
Journal of the Australian Mathematical Society, 2008 AbstractLet Ω(y′) be an H1(Sn−1) function on the unit sphere satisfying a certain cancellation condition. We study the Lp boundedness of the singular integral operator where α≥n and ρ is a norm function which is homogeneous with respect to certain nonistropic dilation. The result in the paper substantially improves and extends some known results.
Chen, Yanping, Ding, Yong, Fan, Dashan
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Kernel Neighborhood Rough Sets Model and Its Application [PDF]
Complexity, 2018 Rough set theory has been successfully applied to many fields, such as data mining, pattern recognition, and machine learning. Kernel rough sets and neighborhood rough sets are two important models that differ in terms of granulation. The kernel rough sets model, which has fuzziness, is susceptible to noise in the decision system.
Kai Zeng 0007, Siyuan Jing
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Accurate Rough Terrain Estimation with Space-Carving Kernels [PDF]
Robotics: Science and Systems V, 2009 Accurate terrain estimation is critical for autonomous offroad navigation. Reconstruction of a 3D surface allows rough and hilly ground to be represented, yielding faster driving and better planning and control. However, data from a 3D sensor samples the terrain unevenly, quickly becoming sparse at longer ranges and containing large voids because of ...
Raia Hadsell +3 more
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Parametric forcing approach to rough-wall turbulent channel flow [PDF]
, 2012 The effects of rough surfaces on turbulent channel flow are modelled by an extra force term in the Navier–Stokes equations. This force term contains two parameters, related to the density and the height of the roughness elements, and a shape function ...
Busse, Angela, Sandham, Neil D.
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Kernel Based Rough-Fuzzy C-Means [PDF]
, 2013 Data clustering has found its usefulness in various fields. Algorithms are mostly developed using euclidean distance. But it has several drawbacks which maybe rectified by using kernel distance formula. In this paper, we propose a kernel based rough-fuzzy C-Means (KRFCM) algorithm and use modified version of the performance indexes (DB and D) obtained ...
Rohan Bhargava, Balakrushna Tripathy
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Estimates for Generalized Parabolic Marcinkiewicz Integrals with Rough Kernels on Product Domains
Axioms, 2023 We prove Lp estimates of a class of generalized Marcinkiewicz integral operators with mixed homogeneity on product domains. By using these estimates along with an extrapolation argument, we obtain the boundedness of our operators under very weak ...
Mohammed Ali, Hussain Al-Qassem
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