Results 1 to 10 of about 389,202 (312)
This work intends to embed the estimation of the joint roughness coefficient (JRC) in the framework of random fields. The random field method is a probabilistic approach which involves modeling of the spatial variability of the pertinent physical ...
Elias Gravanis, Lysandros Pantelidis
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Associative Hierarchical Random Fields
This paper makes two contributions: the first is the proposal of a new model-The associative hierarchical random field (AHRF), and a novel algorithm for its optimization; the second is the application of this model to the problem of semantic segmentation.
Ladický, L +3 more
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CONDITIONAL SIMULATION OF SPATIOTEMPORAL RANDOM FIELDS OF ENVIRONMENTAL CONTAMINATION
The paper considers a method of conditional simulation of spatiotemporal scalar random fields of certain environmental phenomena. The method can be used to predict field values at given space points at specified time, on the basis of field values at ...
ROBERT JANKOWSKI, HENRYK WALUKIEWICZ
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Two-dimensional Kalman filter approach to airborne vector gravimetry
The paper presents a new approach to the airborne vector gravimetry problem. The idea of the approach is to take into account spatial correlation of the gravity field to improve observability of horizontal components of the gravity disturbance vector ...
Vyazmin V.S., Bolotin Yu.V.
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We define heat kernel measure on punctured spheres. The random field which is got by this procedure is not Gaussian. We define a stochastic line bundle on the loop space, such that the punctured sphere corresponds to a generalized parallel transport on ...
Rémi Léandre
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Analysis of Random Fields Using CompRandFld
Statistical analysis based on random fields has become a widely used approach in order to better understand real processes in many fields such as engineering, environmental sciences, etc.
Simone A. Padoan, Moreno Bevilacqua
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The seismic response of the large-space underground structure (LSUS) is significantly influenced by the physical properties of the surrounding soil media, while the soil owns a strong spatial variability.
Zhiming He, Qingjun Chen
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Learning loosely connected Markov random fields
We consider the structure learning problem for graphical models that we call loosely connected Markov random fields, in which the number of short paths between any pair of nodes is small, and present a new conditional independence test based algorithm ...
Rui Wu, R. Srikant, Jian Ni
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A Random Field Theory of Electromagnetic Information
As a rigorous and comprehensive foundation for electromagnetic information theory (EIT), we develop a general theory that elucidates the universal stochastic structure of radiated electromagnetic (EM) fields and induced currents in generic EM information
Said Mikki
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Corrigendum: The behavior of partially coherent twisted space-time beams in atmospheric turbulence
Milo Hyde
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