Results 41 to 50 of about 389,202 (312)
Dimensionality of random light fields
Journal of the European Optical Society-Rapid Publications, 2017 Background The spectral polarization state and dimensionality of random light are important concepts in modern optical physics and photonics. Methods By use of space-frequency domain coherence theory, we establish a rigorous classification for the ...
Andreas Norrman +3 more
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Studia Geotechnica et Mechanica, 2020 This paper presents an efficient method and its usage for the three-dimensional random bearing capacity evaluation for square and rectangular footings.
Chwała Marcin
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Large scale random fields generation using localized Karhunen–Loève expansion
Advanced Modeling and Simulation in Engineering Sciences, 2018 In this paper the generation of random fields when the domain is much larger than the characteristic correlation length is made using an adaptation of the Karhunen–Loève expansion (KLE).
Alfonso M. Panunzio +2 more
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Influence of Yield Strength Variability over Cross-Section to Steel Beam Load-Carrying Capacity
Nonlinear Analysis, 2005 Authors of article analysed influence of variability of yield strength over cross-section of hot rolled steel member to its load-carrying capacity. In calculation models, the yield strength is usually taken as constant.
J. Kala, Z. Kala
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Optimal Nonlinear Prediction of Random Fields on Networks [PDF]
Discrete Mathematics & Theoretical Computer Science, 2003 It is increasingly common to encounter time-varying random fields on networks (metabolic networks, sensor arrays, distributed computing, etc.).This paper considers the problem of optimal, nonlinear prediction of these fields, showing from an information ...
Cosma Rohilla Shalizi
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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
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Quenched invariance principles for random walks and elliptic diffusions in random media with boundary [PDF]
, 2014 Via a Dirichlet form extension theorem and making full use of two-sided heat kernel estimates, we establish quenched invariance principles for random walks in random environments with a boundary.
Croydon, David A. +5 more
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First-order planar autoregressive model
Modern Stochastics: Theory and ApplicationsThis paper establishes the conditions for the existence of a stationary solution to the first-order autoregressive equation on a plane as well as properties of the stationary solution.
Sergiy Shklyar
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ESTIMATION OF SAMPLE SPACING IN STOCHASTIC PROCESSES
Image Analysis and Stereology, 2017 Motivated by applications in electron microscopy, we study the situation where a stationary and isotropic random field is observed on two parallel planes with unknown distance. We propose an estimator for this distance.
Anders Rønn-Nielsen +2 more
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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
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