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随机场     
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  random field
     Generalized Fuzzy Gibbs Random Field and Research on Algorithm for MR Image Segmentation
     广义模糊Gibbs随机场与MR图像分割算法研究
短句来源
     A New Algorithm for Image Segmentation Based on Gibbs Random Field and Fuzzy C-Means Clustering
     基于Gibbs随机场与模糊C均值聚类的图像分割新算法
短句来源
     The present paper discusses some conditions concerning existence of modified Riemann-Stieltjes stochastic integral ∫ Zξ() d μ() with created by real finite random field: ξ(),∈Z, with probability 1 and μ(),∈Z, in space D′ Z
     讨论了定义在集合z= [→a→b] 上,上、下确界以概率1 有界的实随机场ξ(→t) 关于以概率1 属于某空间D′Z 的随机场μ(→t) 的改进的Riemann - Stieltjes 随机积分∫Zξ(→t)dμ(→t) 存在的条件
短句来源
     New Approaches to Segmentation of Brain MR Images Based on Gibbs Random Field Theory
     基于Gibbs随机场理论的脑部MR图像分割新算法研究
短句来源
     Linear prediction theory of a homogeneous random field with discrete parameters (ⅩⅢ)
     具有离散参数齐次随机场的线性预测(ⅩⅢ)
短句来源
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  random fields
     ■Distance and Distortion-Rate Function of Random Fields
     ■距离及随机场的失真率函数
短句来源
     The Prediction Theory of Stationary Random Fields(Ⅰ) Half-Plane Prediction
     平稳随机场的预测理论(Ⅰ)——半平面预测
短句来源
     To take into account thespatial randomness discretization method of random fields is combined with finiteelement method, that is stochastic finite element method.
     将这种随机性引入有限元分析中,把随机场的离散方法与确定性有限元方法结合,即随机有限元法。
短句来源
     Research on the Automatic Detection of ROI in Cardiac Sequence MRI and Segmentation Using Gibbs Random Fields
     心脏MR序列图像感兴趣区的自动检测与基于Gibbs随机场的分割研究
短句来源
     IMAGE SEGMENTATION BASED ON THE MODEL OF HYBRID PYRAMID GIBBS RANDOM FIELDS
     基于混合金字塔吉布斯随机场模型的图像分割
短句来源
更多       
  stochastic field
     This paper discusses some properties about sequence of stochastic field ξ n , u n() , ()∈ 2 ,which is the sum of weak dependent random variable { r(i,j,i≥0, j≥0 } and its convergent conditions to Gauss field ξ() .
     讨论了由具有弱相关性的随机变量{r(i,j),i≥0,j≥0}之和构成的随机场序列ξn,un(t),(t)∈[0,∞]2的性质,得其收敛于Gauss场ξ(t)的条件
短句来源
     The present paper discusses the property of stochastic field ξε(t), t∈ Z and stochastic vector v_ε∈Z, Z = [0, ∞)~2, ε≥0. Then it proves the weak convergence for distribution of composite stochastic field ξ_ε(v_ε), when ε0.
     研究了ε>0时:定义在 Z=[0,∞)~2,取值于D_z空间的随机场ξ_ε(t)和随机矢量v_ε∈Z的性质,证明了当ε0时复合随机场ξ_ε(v_ε)分布的弱收敛性.
短句来源
     The present paper discusses the property of weak convergence between composite stochastic field ξε(vε ) and ξ0(v0 ) in Skorohod Topology, when ε→0.
     本文讨论了定义在概率空间(Ω,F,P)上的复合随机场ξε(vε和ξ0(v0)在Skorohod拓扑中的关系,从而得到了一个当ε→0时,ξε(vε)弱收敛于ξ0(v0)的性质及其推论。
短句来源
     Some Theorems of Weak Convergence for Distribution of Composite Stochastic Field
     复合随机场分布的某些弱收敛定理
短句来源
     Stochastic field model for seismic ground motion theory and application
     地震动随机场模型的理论及应用
短句来源
更多       
  stochastic fields
     MULTI-SCALE MODELING AND COMPUTATION FOR HEAT TRANSFER EQUATIONS ON STATIONARY STOCHASTIC FIELDS OF COMPOSITE MEDIA
     复相介质平稳随机场热传导方程的多尺度模型与计算
短句来源
     The stochastic finite element method (SFEM) developed in the beginning of 1980's is a powerful tool of the numerical analysis for solving random problems, such as stochastic dynamics, stochastic fields and the reliability of structure strength and so on.
     80年代初发展起来的随机有限元法是解决随机问题强有力的数值分析工具,如随机动力学、随机场及结构强度的可靠性等等问题。
短句来源
     To minimize the volume of computations,the computer programme adopts the technique of characteristic orthogonalization for the local average stochastic fields and the excavation simulations adopt the method of stressstatic equilibrium
     在程序中为了减少计算量对局部平均随机场采用了特征正交化技术,开挖模拟采用了应力静力平衡的方法。
短句来源

 

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  random field
The assumption that the temperature anisotropies of the CMB are a realisation of a statistically isotropic Gaussian random field on the sphere is questioned.
      
Recognition of 3-D objects based on Markov random field models
      
A Markov random field model is then created to model the geometric distribution of the object key nodes.
      
Semi-supervised Gaussian random field transduction and induction
      
This paper proposes a semi-supervised inductive algorithm adopting a Gaussian random field (GRF) and Gaussian process.
      
更多          
  random fields
Convergence rates in the strong laws of asymptotically negatively associated random fields
      
In this paper, a notion of negative side ?-mixing (?--mixing) which can be regarded as asymptotic negative association is defined, and some Rosenthal type inequalities for ?--mixing random fields are established.
      
The complete convergence and almost sure summability on the convergence rates with respect to the strong law of large numbers are also discussed for ?--mixing random fields.
      
The results obtained extend those for negatively associated sequences and ?* random fields.
      
Convergence rates in the strong laws for a class of dependent random fields
      
更多          
  stochastic field
As regards the stochastic field component, we show that it is effectively generated by accelerated particles if their injection into acceleration at the shock front is nonuniform along the front.
      
Examples of the coherent states dynamics for two-level atoms in an external stochastic field in a nonideal resonator are considered.
      
The Haken-Strobl-Reineker model of the excitation transfer is generalized to finite temperatures and non-periodic systems taking into account a quantum character of the stochastic field acting on excitons.
      
There can be significant population inversion due to the effect of the stochastic field.
      
The line shape function, which is a moment of the distribution function of the random amplitudes and random phases of the stochastic field, is evaluated by statistical methods.
      
更多          
  stochastic fields
We consider the problem of reconstructing stochastic processes or stochastic fields from their known values on a finite grid.
      
The interaction with external environment and stochastic fields can destroy the coherence.
      
Average over the realizations of stochastic fields is performed for the case of the white Gaussian noise and the Kubo-Anderson process.
      
We treat a model based on the Hubbard hamitonian where the stochastic fields acting at the sites of the atoms can assume arbitrary directions and values.
      
In this contribution we continue the treatment of the model based on the Hubbard hamiltonian in which the stochastic fields acting at the sites of the atoms can assume arbitrary directions and values due to accepted distribution.
      
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