We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which turn Hinto a reproducing kernel Hilbert space. It is assumed that the vectors in F are functions on some set Ω . We then identify conditions on these functions which automatically give H the structure of a reproducing kernel Hilbert space of functions on Ω. We further give an explicit formula for the kernel, and for the corresponding isometric isomorphism. Applications are given to Hilbert spaces associated to families of Gaussian processes
We present a method to construct a chain of reproducing kernel Hilbert spaces controlled by a first-...
Although Gaussian RBF kernels are one of the most often used kernels in modern machine learning meth...
In applied linear algebra, the term frame is used to refer to a redundant or linearly dependent coor...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
This report is concerned with the theory of reproducing kernels. First, a background of elementary f...
© 2015 by the authors; Originally published in Mathematics (ISSN 2227-7390), licensee MDPI
This work deals with a method for building Reproducing Kernel Hilbert Space (RKHS) from a Hilbert sp...
This report is concerned with the theory of reproducing kernels. First, a background of elementary f...
In this paper, we propose a method to explicitly construct a reproducing kernel Hilbert space (RKHS)...
The main purpose of this chapter is to provide a brief review of Hilbert space with its fundamental ...
The goal of this paper will be to study how frame theory is applied within the field of signal proce...
For an open subset\Omega of j R, an integer m, and a positive real parameter ø , the Sobolev space...
The finite energy Fourier-, Hankel-, sine-, and cosine-transformed bandlimited signals are specific ...
AbstractMultiscale kernels are a new type of positive definite reproducing kernels in Hilbert spaces...
We present a method to construct a chain of reproducing kernel Hilbert spaces controlled by a first-...
Although Gaussian RBF kernels are one of the most often used kernels in modern machine learning meth...
In applied linear algebra, the term frame is used to refer to a redundant or linearly dependent coor...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
This report is concerned with the theory of reproducing kernels. First, a background of elementary f...
© 2015 by the authors; Originally published in Mathematics (ISSN 2227-7390), licensee MDPI
This work deals with a method for building Reproducing Kernel Hilbert Space (RKHS) from a Hilbert sp...
This report is concerned with the theory of reproducing kernels. First, a background of elementary f...
In this paper, we propose a method to explicitly construct a reproducing kernel Hilbert space (RKHS)...
The main purpose of this chapter is to provide a brief review of Hilbert space with its fundamental ...
The goal of this paper will be to study how frame theory is applied within the field of signal proce...
For an open subset\Omega of j R, an integer m, and a positive real parameter ø , the Sobolev space...
The finite energy Fourier-, Hankel-, sine-, and cosine-transformed bandlimited signals are specific ...
AbstractMultiscale kernels are a new type of positive definite reproducing kernels in Hilbert spaces...
We present a method to construct a chain of reproducing kernel Hilbert spaces controlled by a first-...
Although Gaussian RBF kernels are one of the most often used kernels in modern machine learning meth...
In applied linear algebra, the term frame is used to refer to a redundant or linearly dependent coor...