Writing Sentences [1]

本文探讨了马尔科夫随机场(MRF)的概念及其与Gibbs分布的关系。介绍通过条件概率和联合概率来定义MRF的方法,并讨论如何通过不同大小的团簇表达Gibbs分布的能量。

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1) try ‘there will be’ instead of ‘then’

In homogeneity MRF, if fi=fj and fNi=fNj, there will be P(fi|fNi)=P(fj|fNj) even if ij.

2) in terms of

There are two approaches for specifying an MRF, that in terms of the conditional probabilities P(fi|fNi) and that in terms of the joint probability P(f).

3) specify

note that in the second term on the right-hand side.

U(f)=iSV1(fi)+iSiNiV2(fi,fi)

4) try ‘that is’ instead of ‘showing below’

Sometimes, it may be convenient to express the energy of a Gibbs distribution as the sum of several terms, each ascribed to cliques of a certain size, that is,

U(f)={i}C1V1(fi)+{i,i}C2V2(fi,fi)+{i,i,i}C3V3(fi,fi,fi)+

5) there is no need using ‘that’ always

The above implies a homogeneous Gibbs distribution because V1, V2, and V3 are independent of the location of i, i, and i.

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