Results 51 to 60 of about 389,202 (312)

Optimization of Gaussian Random Fields [PDF]

open access: yesSIAM Journal on Scientific Computing, 2015
Many engineering systems are subject to spatially distributed uncertainty, i.e. uncertainty that can be modeled as a random field. Altering the mean or covariance of this uncertainty will in general change the statistical distribution of the system outputs.
Dow, Eric, Wang, Qiqi
openaire   +3 more sources

A framework for real-time hand gesture recognition in uncontrolled environments with partition matrix model based on hidden conditional random fields [PDF]

open access: yes, 2013
The main obstructions of making hand gesture recognition methods robust in real-world applications are the challenges from the uncontrolled environments, including: gesturing hand out of the scene, pause during gestures, complex background, skin-coloured
Yi Yao   +3 more
core   +1 more source

Topology Optimisation under Uncertainties with Neural Networks

open access: yesAlgorithms, 2022
Topology optimisation is a mathematical approach relevant to different engineering problems where the distribution of material in a defined domain is distributed in some optimal way, subject to a predefined cost function representing desired (e.g ...
Martin Eigel   +2 more
doaj   +1 more source

Some remarks on selfnormalization for a simple spatial autoregressive model

open access: yesLietuvos Matematikos Rinkinys, 2021
In the paper I continue investigations on the self-normalization of simple autoregressive field Xt,s = aXt−1,s + bXt,s−1 + εt,s started in [5]. And extend previous results when the variance of the innovations of the process above are not finite.
Romas Zovė
doaj   +1 more source

Steerable random fields for image restoralion

open access: yes, 2022
S.377-387Markov random fields (MRFs) are used to perform spatial (or spatiotemporal) regularization by imposing prior knowledge on the types of admissible images, depth maps, flow fields, and so on.
Roth, Stefan, Black, Michael
core  

Hand gesture segmentation in uncontrolled environments with partition matrix and a spotting scheme based on hidden conditional random field [PDF]

open access: yes, 2013
Hand gesture segmentation is the task of interpreting and spotting meaningful hand gestures from continuous hand gesture sequences with non-sign transitional hand movements.
Yi Yao   +3 more
core   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

open access: yesFEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li   +2 more
wiley   +1 more source

Statistical properties of effective elastic moduli of random cubic polycrystals

open access: yesMechanics & Industry, 2023
The homogenized elastic properties of polycrystals depend on the grain morphology and crystallographic orientations. For simplification purposes, the orientations of the grains are usually considered three independent Euler angles.
Sheng Ningyue   +3 more
doaj   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

open access: yesFEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai   +9 more
wiley   +1 more source

Macroscaling limit theorems for filtered spatiotemporal random fields

open access: yes, 2013
This article addresses the problem of defining a general scaling setting in which Gaussian and non-Gaussian limit distributions of linear random fields can be obtained. The linear random fields considered are defined by the convolution of a Green kernel,
Anh, Vo   +5 more
core   +1 more source

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