Random field
A Deep-Structured Conditional Random Field Model for Object Silhouette Tracking.
... In this work, we introduce a deep-structured conditional random field (DS-CRF) model for the purpose of state-based object silhouette tracking. The proposed DS-CRF model con- sists of a series of state ...
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Random field model reveals structure of the protein recombinational landscape.
... the random field model is a surface enriched in functional sequences, which can display locally-epistatic behavior but still has an overall additive ...
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A Markov Random Field Model for Image Segmentation of Rice Planthopper in Rice Fields
... It is meaningful to develop the automation segmentation of rice planthopper pests based on imaging technology in precision agriculture. However, rice planthopper images affected by light and complicated backgrounds in ...
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IMPROVING MARKOV RANDOM FIELD BASED SUPER RESOLUTION MAPPING THROUGH FUZZY PARAMETER INTEGRATION
... study S takes an integer value for the convenience. For each pixel y i j , a symmetric neighbourhood N y ( i j , ) is defined by a window size W, where it is the length of the side of the squared window. Different ...
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Improved adaptive Markov random field based super-resolution mapping for mangrove tree identification
... In this paper, we consider the second category for defining con- textual SRM, which was proposed by [Kasetkasem et al., 2005], and employs Markov random field (MRF) because of its suit- ability to represent ...
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Inverse Correlations for Multiple Time Series and Gaussian Random Fields and Measures of Their Linear Determinism
... a random field, unlike a time series, there is no distinction between ’the past’ and ’the future’ and X(s,t) may be thought of as being influenced by, ...Gaussian random fields, in much the same ...
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Assessment of treatment response by total tumor volume and global apparent diffusion coefficient using diffusion-weighted MRI in patients with metastatic bone disease: a feasibility study.
... The total processing time for a typical WBDWI data set consisting of 15061506200 voxels is of the order of 30 minutes. Figure 3. Comparison of segmentation results, achieved by simple thresholding and with the inclusion ...
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Braz. J. Phys. vol.37 número2A
... mean field approximation, the nature of the phase transition depends on the distribution associated with the magnetic ...magnetic field (random) and low ...of random field [8], ...
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A Critical Review of Statistical Modeling of Digital Images
... Markov random field models, not for shape variables, but for the “true” image underlying the observed gray value ...Markov random field to model local deformations, this yields prior ...
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FISICO: Fast Image SegmentatIon COrrection.
... tional random field and geodesic distance, which can also be used for segmentation correction through two approaches: (1) using the segmentation input as guide to set the background and foreground brushes ...
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Modelling home equity conversion loans with life insurance models
... Initial time t=0 is the time of policy issue, and the symbol Ψ stands for time of benefit payment. At that moment the insured risk is going to be realized. Let X be (random) lifetime, or the age-at-death, of the ...
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Random Number Generator based on Ring Oscillators for IoT applications
... Electronic noise can also be considered thermal noise or johnson noise, since high/low temperatures makes the electrons move at higher/slower speed in a conductive material then this change makes subtle variations in the ...
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Efficient mitigation strategies for epidemics in rural regions.
... The random selection of nodes as recipients of an immunization represents an unbiased distribution of resources and is the simplest method for distribution. The node metrics selected for the targeting strategies ...
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Markov Property of the Solution of the Stochastic Generalized Equations
... a random distribution and to the class of boundary conditions on the frontier Γ = ∂ in S order to define for the corresponding boundary ...for random distributions lead to the Markov property for the ...
3
Genotypic parameters for egg production in pure breed hens by using random regression model
... LOPES, F.B. et al. Efeito da endogamia sobre pesos pré-desmame em bovinos da raça Nelore mocho criados a pasto no bioma Cerrado. Archivos de Zootecnia, v.65, n.250, p.177-182, 2016. Available from: ...
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Weighted Scale-Free Random Graph Model
... In many cases, the results are difficult to prove, and need techniques which can not use in the theory of classical random graphs. We have learned through empirical studies, models, and analytic approaches that ...
3
Incentives in Decentralized Random Matching Markets
... The present paper attempts to extend the two-sided matching theory by constructing a game that mimics the behavior of some decentralized labor markets. Equilibrium analysis in a random context is performed at the ...
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Variability measures of positive random variables.
... Statistical methods and methods of probability theory and stochastic point processes are widely applied to describe and to analyze neuronal firing [16–18]. The probabilistic description of spiking times results from the ...
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Agglomeration in scale-free random graphs
... Over the years, variations of the classic models have appeared, mainly of Albert-Barab´asi’s, followed by papers that have investigated whether these random graph models had certain properties beyond the ...
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Portifolio selection with random transaction costs
... Merton shows that in the absence of transaction costs, the best strategy for the investor is to keep his holdings in the stock and in the money market account at[r] ...
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