Results 21 to 30 of about 667,125 (317)

Gaussian Processes and Gaussian Measures

open access: yesThe Annals of Mathematical Statistics, 1972
The subject of this paper is the study of the correspondence between Gaussian processes with paths in linear function spaces and Gaussian measures on function spaces. For the function spaces $C(I), C^n\lbrack a, b\rbrack, AC\lbrack a, b\rbrack$ and $L_2(T, \mathscr{A}, \nu)$ it is shown that if a Gaussian process has paths in these spaces then it ...
Rajput, Balram S., Cambanis, Stamatis
openaire   +2 more sources

Bimodal Fusion Network with Multi-Head Attention for Multimodal Sentiment Analysis

open access: yesApplied Sciences, 2023
The enrichment of social media expression makes multimodal sentiment analysis a research hotspot. However, modality heterogeneity brings great difficulties to effective cross-modal fusion, especially the modality alignment problem and the uncontrolled ...
Rui Zhang   +5 more
doaj   +1 more source

MÉTODOS COMPUTACIONALES PARA LA DELAMINACIÓN DE GRAFITO UTILIZANDO SURFACTANTES ANIONICOS PARA PRODUCIR GRAFENO

open access: yesRevista de Investigaciones Universidad del Quindío, 2019
Today, using thermal and chemical reduction and solubility, graphene oxide is produced in large scale. Since there are various methods for producing graphene, each of which allocates properties to the produced graphene, the purpose of this research is to
Hashem Ahmadin   +3 more
doaj   +1 more source

Fermat test with Gaussian base and Gaussian pseudoprimes [PDF]

open access: yesCzechoslovak Mathematical Journal, 2015
The structure of the group $(\mathbb{Z}/n\mathbb{Z})^\star$ and Fermat's little theorem are the basis for some of best-known primality testing algorithms. Many related concepts arise: Euler's totient function and Carmichael's lambda function, Fermat pseudoprimes, Carmichael and cyclic numbers, Lehmer's totient problem, Giuga's conjecture, etc.
Grau, José María   +3 more
openaire   +5 more sources

Generalized Asymmetric Hermite–Gaussian and Laguerre–Gaussian Beams

open access: yesPhotonics, 2023
We derive analytical formulae for the complex amplitudes of variants of generalized Hermite–Gaussian (HG) and Laguerre–Gaussian (LG) beams. We reveal that, at particular values of parameters of the exact solution of the paraxial propagation equation ...
Eugeny G. Abramochkin   +3 more
doaj   +1 more source

Gaussian and Non-Gaussian operations on non-Gaussian state: engineering non-Gaussianity

open access: yesQuantum Measurements and Quantum Metrology, 2014
AbstractMultiple photon subtraction applied to a displaced phase-averaged coherent state, which is a non-Gaussian classical state, produces conditional states with a non trivial (positive) Glauber-Sudarshan Prepresentation. We theoretically and experimentally demonstrate that, despite its simplicity, this class of conditional states cannot be fully ...
S. Olivares, A. Allevi, M. Bondani
openaire   +2 more sources

Gaussian Maximizers for Quantum Gaussian Observables and Ensembles [PDF]

open access: yesIEEE Transactions on Information Theory, 2020
18 pages; Presentation improved.
openaire   +2 more sources

Elasticity of Gaussian and nearly Gaussian phantom networks [PDF]

open access: yesPhysical Review E, 2000
We study the elastic properties of phantom networks of Gaussian and nearly-Gaussian springs. We show that the stress tensor of a Gaussian network coincides with the conductivity tensor of an equivalent resistor network, while its elastic constants vanish.
Farago, Oded, Kantor, Yacov
openaire   +3 more sources

Pauli Gaussian Fibonacci and Pauli Gaussian Lucas Quaternions

open access: yesMathematics, 2022
We have investigated new Pauli Fibonacci and Pauli Lucas quaternions by taking the components of these quaternions as Gaussian Fibonacci and Gaussian Lucas numbers, respectively. We have calculated some basic identities for these quaternions.
Ayşe Zeynep Azak
doaj   +1 more source

The Gaussian Transform

open access: yesCoRR, 2020
We introduce the Gaussian transform (GT), an optimal transport inspired iterative method for denoising and enhancing latent structures in datasets. Under the hood, GT generates a new distance function (GT distance) on a given dataset by computing the $\ell^2$-Wasserstein distance between certain Gaussian density estimates obtained by localizing the ...
Kun Jin, Facundo Mémoli, Zhengchao Wan
openaire   +2 more sources

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