Results 51 to 60 of about 15,642,613 (349)
Unsupervised Texture Segmentation using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters [PDF]
, 2012 In this paper, local distributions of low order Gaussian Markov Random Field (GMRF) model parameters are proposed as texture features for unsupervised texture segmentation.Instead of using model parameters as texture features, we exploit the variations ...
Michael Bennet +7 more
core +1 more source
Image Labeling with Markov Random Fields and Conditional Random Fields
CoRR, 2018 Most existing methods for object segmentation in computer vision are formulated as a labeling task. This, in general, could be transferred to a pixel-wise label assignment task, which is quite similar to the structure of hidden Markov random field. In terms of Markov random field, each pixel can be regarded as a state and has a transition probability ...
Shangxuan Wu, Xinshuo Weng
openaire +2 more sources
Optimization of Gaussian Random Fields [PDF]
SIAM 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 +4 more sources
Ekonomia i Prawo, 2020 Motivation: Clear spatial diversity and high variability in time of economic phenomena and the fact that they show dependencies in space and time dimensions, as well as the spatio-temporal dependencies, lead to the consideration of the phenomena in terms
Elżbieta Szulc
doaj +1 more source
Many-body localization edge in the random-field Heisenberg chain [PDF]
, 2014 The authors study the phenomena of many-body localization in a random field Heisenberg chain. In this paper the authors use a shift-inverse exact diagonalization approach that allows them to study the mid-spectrum spectral properties of the model for ...
D. J. Luitz, N. Laflorencie, F. Alet
semanticscholar +1 more source
Mean-field theory for scale-free random networks [PDF]
, 1999 Random networks with complex topology are common in Nature, describing systems as diverse as the world wide web or social and business networks. Recently, it has been demonstrated that most large networks for which topological information is available ...
A. Barabási, R. Albert, Hawoong Jeong
semanticscholar +1 more source
Online Phase Measurement Profilometry for a Fast-Moving Object
Applied Sciences, 2021 When the measured object is fast moving online, the captured deformed pattern may appear as motion blur, and some phase information will be lost. Therefore, the frame rate has to be improved by adjusting the image acquisition mode of the camera to adapt ...
Jie Gao +3 more
doaj +1 more source
FEBS 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
Exponential Random Graphs: mean-field approximations and limit theorems [PDF]
, 2022 reservedThis thesis deals with a class of Random Graphs (RGs), the Exponential Random Graph model (ERGM). RGs can reproduce emergent connectivity properties of real world networks such as social networks, populations, molecular systems, neural networks.
PASSUELLO, GIACOMO
core
Applied Sciences, 2021 Artificial ground freezing (AGF) technology has been commonly applied in tunnel construction. Its primary goal is to create a frozen wall around the tunnel profile as a hydraulic barrier and temporary support, but it is inevitably affected by two natural
Pu Qiu, Peitao Li, Jun Hu, Yong Liu
doaj +1 more source