Results 21 to 30 of about 389,202 (312)
On Structured Random Matrices Defined by Matrix Substitutions
Mathematics, 2023 The structure of the random matrices introduced in this work is given by deterministic matrices—the skeletons of the random matrices—built with an algorithm of matrix substitutions with entries in a finite field of integers modulo some prime number, akin
Manuel L. Esquível, Nadezhda P. Krasii
doaj +1 more source
ULTRAMETRIC RANDOM FIELD [PDF]
Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2006 Gaussian random field on general ultrametric space is introduced as a solution of pseudodifferential stochastic equation. Covariation of the introduced random field is computed with the help of wavelet analysis on ultrametric spaces. Notion of ultrametric Markovianity, which describes independence of contributions to random field from different ...
Khrennikov, A. Yu., Kozyrev, S. V.
openaire +2 more sources
Applied Sciences, 2022 For the numerical simulation of components made of short fiber-reinforced composites, the correct prediction of the deformation including the elastic and plastic behavior and its spatial distribution is essential. When using purely deterministic modeling
Natalie Rauter
doaj +1 more source
Discriminative Random Fields [PDF]
International Journal of Computer Vision, 2006 In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and modeling these dependencies in a principled manner is crucial to achieve good classification accuracy.
Sanjiv Kumar, Martial Hebert
openaire +1 more source
Frontiers in Marine Science, 2023 Reservoir bank slopes with weak interlayers are common in the Three Gorges Reservoir area. Their stabilities are affected by multi-coupled factors (e.g., reservoir water fluctuations, rainfall, and earthquakes in the reservoir area).
Wengang Zhang +9 more
doaj +1 more source
Компьютерная оптика, 2022 The relevance of the tasks of detecting and recognizing objects in images and their sequences has only increased over the years. Over the past few decades, a huge number of approaches and methods for detecting both anomalies, that is, image areas whose ...
N.A. Andriyanov +2 more
doaj +1 more source
Random-energy model in random fields [PDF]
Physical Review E, 2006 The random-energy model is studied in the presence of random fields. The problem is solved exactly both in the microcanonical ensemble, without recourse to the replica method, and in the canonical ensemble using the replica formalism. The phase diagrams for bimodal and Gaussian random fields are investigated in detail. In contrast to the Gaussian case,
Filho, Luiz O. de Oliveira +2 more
openaire +3 more sources
Concentration Inequalities for Functions of Gibbs Fields with Application to Diffraction and Random Gibbs Measures [PDF]
, 2002 We derive useful general concentration inequalities for functions of Gibbs fields in the uniqueness regime. We also consider expectations of random Gibbs measures that depend on an additional disorder field, and prove concentration w.r.t.
Külske, Christof +2 more
core +1 more source
Stochastic finite elements: Where is the physics? [PDF]
Theoretical and Applied Mechanics, 2011 The micromechanics based on the Hill-Mandel condition indicates that the majority of stochastic finite element methods hinge on random field (RF) models of material properties (such as Hooke’s law) having no physical content, or even at odds with ...
Ostoja-Starzewski Martin
doaj +1 more source
Concentration inequalities for random fields via coupling [PDF]
, 2007 We present a new and simple approach to concentration inequalities in the context of dependent random processes and random fields. Our method is based on coupling and does not use information inequalities.
Chazottes, J. R. +8 more
core +1 more source