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Stochastic Geometry and Perception
1987Recently the concept of a proximity measure has emerged as a computational cornerstone for modelling human perception. In particular, for visual perception a proximity measure is an index defined over pairs of images that quantifies the degree to which the two objects are alike as perceived by a respondent at the particular time of measurement ...
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1996
We begin with a review of some basic definitions and ideas from probability theory. The reader wishing a more detailed description of the tools that will be necessary can consult [43].
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We begin with a review of some basic definitions and ideas from probability theory. The reader wishing a more detailed description of the tools that will be necessary can consult [43].
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Stochastic geometry of defect systems
Physica A: Statistical Mechanics and its Applications, 1988Abstract A second quantized temperature formalism for the correlation functions and linear response laws for detect systems representative for solid and partly ordered liquid states is developed. The partition function is expressed in terms of defect degrees of freedom for which also an effective action is derived coupled to source fields.
Dennis T. Vigren, Arno Holz
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Stochastic geometry from the standpoint of integral geometry
Advances in Applied Probability, 1977This two-part paper surveys some recent developments in integral and stochastic geometry. Part I surveys applications of integral geometry to the theory of euclidean motion-invariant random fibrefields (a fibrefield is a collection of smooth arcs on the plane), involving marked point processes, Palm distribution theory and vertex pattern analysis. Part
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Models of stochastic geometry ? A survey
ZOR Zeitschrift f� Operations Research Methods and Models of Operations Research, 1993This paper discusses some models of stochastic geometry which are of potential interest for operations research. These are the Boolean model, a certain model for random compact sets and marked point processes. The Boolean model is a generalization of the well-known queueing systemM/G/∞.
Günter Lippmann, Dietrich Stoyan
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Stochastic geometry in petroleum geology
Journal of the International Association for Mathematical Geology, 1982Many aspects of the generation, migration, trapping, and discovery of petroleum, as well as its primary and enhanced recovery, depend upon geometry. The scale of the relevant geometric features varies all the way from that of continental margins and basins down to the pores and fissures in reservoir rocks. Because the spatial complexity is so great for
K. S. Deffeyes+2 more
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Perfect simulation in stochastic geometry
Pattern Recognition, 1999Simulation plays an important role in stochastic geometry and related fields, because all but the simplest random set models tend to be intractable to analysis. Many simulation algorithms deliver (approximate) samples of such random set models, for example by simulating the equilibrium distribution of a Markov chain such as a spatial birth-and-death ...
Elke Thönnes, Wilfrid S. Kendall
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A stochastic model of the railway track geometry
2016ABSTRACT: A stochastic model of the geometry of the RATP Regional Express Network line A (RERA) is here proposed. The track irregularities are modelled as random fields whose features are deduced from processed measurement data. The versines measurements are deconvolved to obtain the curvatures taking into account the circulation direction of the train
Panunzio, Alfonso M.+3 more
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COMPUTER VISION AND STOCHASTIC GEOMETRY
1990An approach from the stochastic geometry viewpoint to the problem of forming recognition feasures invariant to objects' rotations and translation is considered. Technical vision simple applied systems' structure is discussed.
Nikolai G. Pedotov, Michael E. Larin
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