Results 251 to 260 of about 2,732,958 (292)

Testing invariance for random field modeling

2004
The application of the collocation theory to the prediction of some random field functional depends on the knowledge of the covariance function. Whether we include the estimation of the covariance into a unique theoretical set up with the prediction of the signal, or we do it separately in a more traditional way, this step can be performed only under ...
REGUZZONI, MIRKO, VENUTI, GIOVANNA
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On markov models of random fields

Acta Mathematicae Applicatae Sinica, 1987
The paper considers different types of Markov models for random fields, namely causal Markov models, semicausal and noncausal Markov models. Several theorems of spectral characterizations of the models are given.
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Dynamic random field models

1995
Spatial equations in which the variables are real continuous variables are known as field equations. It turns out that continuous field models possess definite mathematical advantages (in terms of tractability in particular). This may explain why, in spite of the fact that statistical records are of discrete form, such models have been used for some ...
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Developments in random field modeling

Nuclear Engineering and Design, 1982
Abstract The paper gives a brief account of a new approach to the representation and analysis of homogeneous random fields. Attention is drawn to the problem of the excessive sensitivity (to the choice of correlation model) of the mean square derivatives upon which level excursion and extreme value statistics depend.
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Global connectivity potentials for random field models

2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009
Markov random field (MRF, CRF) models are popular in computer vision. However, in order to be computationally tractable they are limited to incorporate only local interactions and cannot model global properties, such as connectedness, which is a potentially useful high-level prior for object segmentation.
Nowozin, S., Lampert, C.
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Metastability in the random-field Ising model

Physical Review B, 1985
Effects of metastability in random-field Ising systems are calculated for domains that are both curved and rough. Villain’s and Bruinsma and Aeppli’s scaling forms for the domain size are obtained from the same approach and the crossover between them is simply explained. Generalizations to random fields with nonzero averages lead to a ‘‘freezing line’’
Andelman, David, Joanny, J.-F.
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Cell and Random-Field Models

2002
There is a vast class of random heterogeneous materials whose microstructures cannot be modeled as a distribution of inclusions or cavities of well-defined shape in a matrix. This classification includes animal and plant tissue (which have a cellular structure), bone, foams, froths, polycrystals, block copolymers, and microemulsions, to mention but a ...
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Model Building for Random Fields

2001
Random fields are used to model spatial data in many application areas. Typical examples are image analysis and agricultural field trials. We focus on the relatively neglected area of model building and draw together its widely dispersed literature, which reflects the aspirations of a wide range of application areas.
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Random Fields and Texture Models

2003
In this chapter we introduce random field models for textures. We restrict ourselves to a model introduced in CHR. GRAFFIGNE (1987) because it once more illustrates the ideas from Chapter 2, and to the auto-models from J. BESAG (1974, 1986), mainly because of their historical interest.
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies

Ca-A Cancer Journal for Clinicians, 2022
Paolo Tarantino, Roberto Carmagnani Pestana, Shanu Modi   +2 more
exaly