Parallel Magnetic Resonance Imaging as Approximation in a Reproducing Kernel Hilbert Space. [PDF]
Athalye V, Lustig M, Uecker M.
europepmc +1 more source
Generalisations of Pick's theorem to reproducing Kernel Hilbert spaces [PDF]
Pick's theorem states that there exists a function in H1, which is bounded by 1 and takes given values at given points, if and only if a certain matrix is positive.
Quiggin, Peter Philip +2 more
core
The weighted Davis-Wielandt Berezin number for reproducing kernel Hilbert space operators
A functional Hilbert space is the Hilbert space of complex-valued functions on some set Θ ⊆ C $\Theta \subseteq \mathcal {C}$ that the evaluation functionals φ λ ( f ) = f ( λ ) $\varphi _{\lambda}\left ( f\right ) =f\left ( \lambda \right ) $ , λ ∈ Θ ...
Nooshin Eslami Mahdiabadi +3 more
doaj +1 more source
Single image super-resolution via an iterative reproducing kernel Hilbert space method. [PDF]
Deng LJ, Guo W, Huang TZ.
europepmc +1 more source
Quantile regression with an epsilon-insensitive loss in a reproducing kernel Hilbert space [PDF]
This paper proposes a method to estimate the conditional quantile function using an epsilon-insensitive loss in a reproducing kernel Hilbert space.
Kim, Jeankyung, Park, Jinho
core
Combining dissimilarities in a Hyper Reproducing Kernel Hilbert Space for complex human cancer prediction. [PDF]
Martín-Merino M +2 more
europepmc +1 more source
Kernel embeddings and the separation of measure phenomenon. [PDF]
Santoro LV, Waghmare KG, Panaretos VM.
europepmc +1 more source
The impact of the exponential Kernel's bandwidth parameter on learning algorithms. [PDF]
Almahdawi MA.
europepmc +1 more source
An Operator Analysis on Stochastic Differential Equation (SDE)-Based Diffusion Generative Models. [PDF]
Wu Y, Kawahara Y.
europepmc +1 more source

