Results 41 to 50 of about 15,642,613 (349)
Reliability Analysis of Layered Soil Slopes Considering Different Spatial Autocorrelation Structures
Applied Sciences, 2020 It is widely recognized that different geological formations often vary differently in space. Therefore, soil properties from different layers should be modeled by different autocorrelation functions (ACFs) to reflect such soil heterogeneity.
Shaohe Zhang +3 more
doaj +1 more source
The Effect of Spatial Variability and Anisotropy of Soils on Bearing Capacity of Shallow Foundations [PDF]
Civil Engineering Infrastructures Journal, 2014 Naturally occurred soil deposits inherit heterogeneity and anisotropy in their strength properties. The main purpose of this paper is to model the soil stratum with anisotropy consideration and spatially varying undrained shear strength by using random ...
Reza Jamshidi Chenari, Ali Mahigir
doaj +1 more source
Frontiers in Earth Science, 2022 In order to analyze the effects of rainfall events on the stability of an open-pit rock slope, with considering the spatial variability of saturated hydraulic conductivity, based on the unsaturated seepage theory and the random filed theory, modified ...
Qingqing Zhang +2 more
doaj +1 more source
Inducing features of random fields [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997 34 pages, compressed ...
Stephen Della Pietra +2 more
openaire +2 more sources
IEEE Transactions on Biomedical Engineering, 2017 Goal: In this work, we present an extensive description and evaluation of our method for blood vessel segmentation in fundus images based on a discriminatively trained fully connected conditional random field model.
J. Orlando +2 more
semanticscholar +1 more source
Computer Assisted Methods in Engineering and Science, 2019 This paper presents an approach of one- and two-dimensional random field simulation methods using a correlated random vector and the Karhunen–Loève expansion. Comparison of the authors’ analytical solution of the Fredholm integral equation of the second
Mariusz Poński, Iwona Pokorska
doaj +1 more source
An Introduction to Conditional Random Fields [PDF]
Foundations and Trends® in Machine Learning, 2012 Many tasks involve predicting a large number of variables that depend on each other as well as on other observed variables. Structured prediction methods are essentially a combination of classification and graphical modeling. They combine the ability of graphical models to compactly model multivariate data with the ability of classification methods to ...
Sutton, Charles, McCallum, Andrew
openaire +3 more sources
Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts models [PDF]
, 2013 This letter considers the problem of computing the Cramer–Rao bound for the parameters of a Markov random field. Computation of the exact bound is not feasible for most fields of interest because their likelihoods are intractable and have intractable ...
Batatia, Hadj +8 more
core +1 more source
Random matrix description of dynamically backscattered coherent waves propagating in a wide-field-illuminated random medium [PDF]
, 2021 The wave propagation in random medium plays a critical role in optics and quantum physics. Multiple scattering of coherent wave in a random medium determines the transport procedure.
Yifan Zhang (119570) +3 more
core +1 more source
Pattern recognition using Markov random field models [PDF]
, 2002 In this paper, we propose Markov random field models for pattern recognition, which provide a flexible and natural framework for modelling the interactions between spatially related random variables in their neighbourhood systems.
Zhi-Qiang Liu +3 more
core +1 more source