Results 41 to 50 of about 166,726 (252)

A linear algebraic approach to holomorphic reproducing kernels in Cn [PDF]

open access: yes, 2006
Let Ω⊆Cn be a domain and k be a holomorphic reproducing kernel on Ω. By the Moore–Aronszajn characterization, every finite matrix k(Zi,Zj) is positive semidefinite.
Buescu, Jorge, Paixão, A.C.
core   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Explicit construction of reproducing kernels

open access: yes, 2022
Note presentant des résultats explicites de calcul de noyaux reproduisants, utilisant les fonctions de Bessel modifiées.In this short Note, we calculate explicitely reproducing kernels for simple Sobolev spaces.
Lafitte, O
core   +2 more sources

Kernel Matrix-Based Heuristic Multiple Kernel Learning

open access: yesMathematics, 2022
Kernel theory is a demonstrated tool that has made its way into nearly all areas of machine learning. However, a serious limitation of kernel methods is knowing which kernel is needed in practice.
Stanton R. Price   +3 more
doaj   +1 more source

A Survey on Hilbert Spaces and Reproducing Kernels

open access: yes, 2020
The main purpose of this chapter is to provide a brief review of Hilbert space with its fundamental features and introduce reproducing kernels of the corresponding spaces. We separate our analysis into two parts.
Okutmuştur, Baver, Baver Okutmuştur
core   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

open access: yesAdvanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle   +5 more
wiley   +1 more source

On an interpolation problem on a class of a radially weighted harmonic Bergman space

open access: yesJournal of Inequalities and Applications
The purpose of the present article is to interpolate a sequence by a function in the space of a weighted harmonic Bergman space on the unit ball such that the weight is provided radially.
Mohammed El Aïdi
doaj   +1 more source

Controlling Grain Growth in Powder Bed Fusion of Yttria‐Stabilized Zirconia Using Femtosecond Lasers: Challenges and Methodological Insights

open access: yesAdvanced Engineering Materials, EarlyView.
Binder‐free laser powder bed fusion of 8YSZ with a femtosecond laser is used to map process windows linking scan strategy, heat accumulation, and grain growth. Time‐resolved thermography and simulations reveal thermal regimes that enable continuous, vitrified, and fine‐grained 8YSZ surface layers without absorptive additives and demonstrate ...
Markus Kühn   +5 more
wiley   +1 more source

Multivariable Christoffel-Darboux Kernels and Characteristic Polynomials of Random Hermitian Matrices

open access: yesSymmetry, Integrability and Geometry: Methods and Applications, 2006
We study multivariable Christoffel-Darboux kernels, which may be viewed as reproducing kernels for antisymmetric orthogonal polynomials, and also as correlation functions for products of characteristic polynomials of random Hermitian matrices.
Hjalmar Rosengren
doaj  

Best approximation of Hartley-Bessel multiplier operators on weighted Sobolev spaces

open access: yesJournal of Numerical Analysis and Approximation Theory
The main goal of this paper is to introduce the Hartley-Bessel \(L^2_\alpha\)-multiplier operators and to give for them some new results as Plancherel’s, Calderon’s reproducing formulas and Heisenberg’s, Donoho-Stark’s uncertainty principles.
Ahmed Chana, Abdellatif Akhlidj
doaj   +1 more source

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