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Showing 1 to 20 of 169 for “"Random field"”.

  1. Smoothness- transferred random field

    We propose a new random field (RF) model, smoothness-transfer random field (ST-RF) model, for image modeling. In the objective function of RF models, smoothness energy is defined with compatibility function to capture the relationship between neighboring local regions, while data energy for the …

    mit Repository record for Smoothness- transferred random field (opens in a new tab)

  2. Markov random field image modelling

    … of parametric model for the distribution. Markov random fields (MRFs) provide just such a vehicle for modelling the a priori distribution of labels found in images. In particular, this work investigated the suitability of MRF models for modelling a priori information about the distribution of …

    cape-town Repository record for Markov random field image modelling (opens in a new tab)

  3. Estimation in random field models for noisy spatial data

    "The random field model has been applied to model spatial heterogeneity for spatial data in many applications. The purpose of this dissertation is to explore statistical properties of noisy spatial data through estimation of the Gaussian random field. Large sample properties of the Maximum …

    uiuc Repository record for Estimation in random field models for noisy spatial data (opens in a new tab)

  4. Some applications of random field theory in geotechnical engineering

    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil Engineering, 1980.

    mit Repository record for Some applications of random field theory in geotechnical engineering (opens in a new tab)

  5. Random field modeling for interpretation and analysis of layered data

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1987.

    mit Repository record for Random field modeling for interpretation and analysis of layered data (opens in a new tab)

  6. Multi-level, multi-variate, non-stationary, random field modeling of engineering systems

    … multi-level, multi-variate, non-stationary, random field formulations for the modeling of system properties. To consider the inhomogeneous spatial variability, this study proposes a regressor-based random field formulation using an improved latent space approach (ILSA). To considers the …

    uiuc Repository record for Multi-level, multi-variate, non-stationary, random field modeling of engineering systems (opens in a new tab)

  7. An efficient multivariate multidimensional random field generator using the fast Fourier transform

    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1994.

    mit Repository record for An efficient multivariate multidimensional random field generator using the fast Fourier transform (opens in a new tab)

  8. Markov random field modeling of the spatial distribution of proteins on cell membranes

    … observed simultaneously. As a solution, Markov random field (MRF) modeling is proposed to reconstruct the distribution of multiple cell membrane constituents from pair-wise data sets. MRFs are a powerful mathematical formalism for modeling correlations between states associated with neighboring …

    unm Repository record for Markov random field modeling of the spatial distribution of proteins on cell membranes (opens in a new tab)

  9. Statistically isotropic random field models for mechanics of random solid and fluid media

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-08-01

    uiuc Repository record for Statistically isotropic random field models for mechanics of random solid and fluid media (opens in a new tab)

  10. Learning coupled conditional random field for image decomposition : theory and application in object categorization

    … In the mid-level, a novel coupled Conditional Random Field model is proposed to model and decompose the contour and texture processes in natural images. Various matching schemes are introduced to match the decomposed contour and texture channels in a dissociative manner. As a counterpart to the …

    mit Repository record for Learning coupled conditional random field for image decomposition : theory and application in object categorization (opens in a new tab)

  11. A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation

    … object surface. The method uses a novel Markov Random Field (MRF) formulation on triplets of corner vertex nodes to model the probability of sets of reflectance parameters for arbitrary reflectance models, given probabilistic surface geometry, camera, illumination, and reflectance image …

    cape-town Repository record for A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation (opens in a new tab)

  12. Transport of Kinetically Adsorbing Contaminants in Randomly Heterogeneous Aquifers

    … hydraulic conductivity by means of a stationary random field. Therefore, the solute concentration distribution at a given time also becomes a random field. For the case of an inert solute, Dagan found a solution for the temporal evolution of the ensemble spatial moments of the concentration …

    uiuc Repository record for Transport of Kinetically Adsorbing Contaminants in Randomly Heterogeneous Aquifers (opens in a new tab)

  13. Rational modeling and linear prediction of random fields

    … is proposed that is based upon modeling a random field as the output of a rational linear system driven by the innovations of the field. A variety of linear prediction problems, each depending upon the definition of past, may be formulated for random fields; consequently, there are an equal …

    uiuc Repository record for Rational modeling and linear prediction of random fields (opens in a new tab)

  14. SPDE-derived random fields in structural optimisation and elastodynamics

    Random imperfections are an inherent aspect of engineered systems, originating from various sources such as manufacturing variations, material heterogeneity, and environmental factors. These imperfections inevitably introduce uncertainties in the performance of structures which are rarely …

    cambridge Repository record for SPDE-derived random fields in structural optimisation and elastodynamics (opens in a new tab)

  15. New algorithms for image analysis, compression, and 2-D spectrum estimation in the radon space

    … with the Radon transform of a stationary random field are brought out. A new representation for the Radon transform of a stationary random field (valid upto second-order statistics), is used to study the second-order properties of the transform. Limitations pertaining to the theory and its …

    concordia Repository record for New algorithms for image analysis, compression, and 2-D spectrum estimation in the radon space (opens in a new tab)

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