Results 31 to 40 of about 1,777,436 (249)
ON THE INCLUSION RELATION OF REPRODUCING KERNEL HILBERT SPACES [PDF]
To help understand various reproducing kernels used in applied sciences, we investigate the inclusion relation of two reproducing kernel Hilbert spaces. Characterizations in terms of feature maps of the corresponding reproducing kernels are established.
Haizhang Zhang, Liang Zhao
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Metamorphosis of images in reproducing kernel Hilbert spaces [PDF]
Metamorphosis is a method for diffeomorphic matching of shapes, with many potential applications for anatomical shape comparison in medical imagery, a problem which is central to the field of computational anatomy. An important tool for the practical application of metamorphosis is a numerical method based on shooting from the initial momentum, as this
Casey L. Richardson, Laurent Younes
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Revitalising Pedrick’s Approach to Reproducing Kernel Hilbert Spaces
This short note has to make alive the overlooked work of Pedrick. It is rather a tour guide than exhausted examination of the content and intends to serve potential explorers of diverse kinds of reproducing kernel (Hilbert) spaces, the topic mushrooming ...
F. H. Szafraniec
semanticscholar +1 more source
Density of sampling and interpolation in reproducing kernel Hilbert spaces [PDF]
We derive necessary density conditions for sampling and for interpolation in general reproducing kernel Hilbert spaces satisfying some natural conditions on the geometry of the space and the reproducing kernel.
H. Führ +4 more
semanticscholar +1 more source
New characterizations of reproducing kernel Hilbert spaces and applications to metric geometry [PDF]
We give two new global and algorithmic constructions of the reproducing kernel Hilbert space associated to a positive definite kernel. We further present a general positive definite kernel setting using bilinear forms, and we provide new examples.
D. Alpay, P. Jorgensen
semanticscholar +1 more source
Analytic Kramer kernels, Lagrange-type interpolation series and de Branges spaces [PDF]
The classical Kramer sampling theorem provides a method for obtaining orthogonal sampling formulas. In particular, when the involved kernel is analytic in the sampling parameter it can be stated in an abstract setting of reproducing kernel Hilbert spaces
Hernández-Medina, Miguel A. +7 more
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In this research, obtaining of approximate solution for fractional-order Burgers’ equation will be presented in reproducing kernel Hilbert space (RKHS). Some special reproducing kernel spaces are identified according to inner products and norms.
Onur Saldır +2 more
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A Generalized Norm on Reproducing Kernel Hilbert Spaces and Its Applications
The aim of this article was to provide improved estimates for the (α,β)-norm of a bounded linear operator. In particular, our results enabled the determination of new upper bounds involving both the Berezin number and the Berezin norm of bounded linear ...
Najla Altwaijry +2 more
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Reproducing Kernel Hilbert Space vs. Frame Estimates
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which turn H into a reproducing kernel Hilbert space. It is assumed that the vectors in F are functions on some set Ω .
Palle E. T. Jorgensen, Myung-Sin Song
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Beurling-Type Theorem for a Class of Reproducing Kernel Hilbert Spaces
In this paper, it is proved that the Beurling-type theorem holds for the shift operator on a class of reproducing analytic Hilbert spaces.
Zhi-jie Wang +2 more
doaj +1 more source

