Results 51 to 60 of about 5,469 (233)

Clifford algebra multivectors and kernels for melanoma classification

open access: yesMathematical Methods in the Applied Sciences, 2021
Melanoma is a deadly skin disease. Availability of digital skin lesion datasets ease the exploration of ample classification studies. Both theoretical and heuristics improvements are achieved thanks to these new datasets. Being one of many high‐level feature‐driven classification methods, support vector machines (SVMs) are widely used in the literature
Mutlu Akar   +2 more
openaire   +3 more sources

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

open access: yesAIChE Journal, EarlyView.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed   +4 more
wiley   +1 more source

Structured algebraic specifications: A Kernel language

open access: yesTheoretical Computer Science, 1986
A language called ASL for describing structured algebraic specifications is presented. ASL is a declarative higher-order language. It contains constructs for building (possibly infinite) signatures, sets of terms, and sets of formulas as well as constructs embodying primitive operations on algebraic specifications.
openaire   +2 more sources

Sequential Monte Carlo with likelihood tempering and parallel implementation for uncertainty quantification

open access: yesAIChE Journal, EarlyView.
Abstract Bayesian estimation enables uncertainty quantification, but analytical implementation is often intractable. As an approximate approach, the Markov Chain Monte Carlo (MCMC) method is widely used, though it entails a high computational cost due to frequent evaluations of the likelihood function.
Tatsuki Maruchi   +2 more
wiley   +1 more source

Reproducing kernels, Engliš algebras and some applications

open access: yesStudia Mathematica, 2016
Let \({\mathcal H}={\mathcal H}(\Omega)\) be a reproducing kernel Hilbert space and \(\widehat{k}_{{\mathcal H},\lambda}\) be the normalized reproducing kernel of \({\mathcal H}\). Typically, \({\mathcal H}\) is a Hardy space \(H ^2\), a Bergman space \(L_a^2\), or a model space \(K_\theta:=H^2\ominus\theta H^2\) for an inner function \(\theta\).
HUBAN, Mualla Birgul   +2 more
openaire   +4 more sources

Accelerating the computation for real-time application of the sinc function using graphics processing units

open access: yesJournal of Analytical Science and Technology, 2020
In magnetic resonance imaging, the fidelity of image reconstruction is an important criterion. It has been suggested that the infinite-extent sinc kernel is the ideal interpolation kernel for ensuring the reconstruction quality of non-Cartesian ...
Sangwoo Kim, Chulhyun Lee
doaj   +1 more source

Homogeneous algebras via heat kernel estimates

open access: yesTransactions of the American Mathematical Society, 2022
We study homogeneous Besov and Triebel–Lizorkin spaces defined on doubling metric measure spaces in terms of a self-adjoint operator whose heat kernel satisfies Gaussian estimates together with its derivatives. When the measure space is a smooth manifold and such operator is a sum of squares of smooth vector fields, we prove that their intersection ...
openaire   +3 more sources

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang   +4 more
wiley   +1 more source

On the solution of the convolution equation with a sum-difference kernel

open access: yesVestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2015
The paper deals with the integral equations of the second kind with a sumdifference kernel. These equations describe a series of physical processes in a medium with a reflective boundary.
Ani G Barseghyan
doaj   +1 more source

Algebraic monoids with group kernels

open access: yesSemigroup Forum, 1996
Let \(M\) be an algebraic monoid, that is \(M\) be both an affine variety over an algebraically closed field \(K\) and a monoid for which the operation of multiplication \(M\times M\to M\) is an affine variety morphism. An algebraic monoid \(M\) is irreducible if it is so as an affine variety. \(M\) is regular if \(a\in aMa\) for all \(a\in M\).
openaire   +1 more source

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