The present paper suggests a new expansion method of random fields on the Galerkin Projective Method.
本文基于伽辽金投影方法，提出了一种新的随机场的展开方法。
This paper presents a method for named entity recognition in the tourism domain based on the cascaded conditional random fields.
针对旅游领域，提出了一种基于层叠条件随机场模型的旅游领域命名实体识别方法。
This paper presents an approach of Syntactic and Semantic of CFN automatic tagging based on cascaded conditional random fields model.
本文提出了一种基于层叠条件随机场的CFN句法语义自动标注方法。
Triplet Markov random fields (TMF) model is suitable for dealing with multi-class segmentation of non-stationary, non-Gaussian SAR images.
三重马尔科夫随机场(TMF)模型非常适合处理非平稳、非高斯图像的分割问题。
We present an accurate description for stable random fields. We also deduce, as application, a version of the iterated logarithm law for them.
对于稳定随机场我们给出一个精确的描述，作为应用，可导出一重对数律。
The article introduces a method of reading random fields under VFP developing environment through analyzing the storing format of MARC records.
通过对MARC记录存放格式的分析，介绍使用VFP开发环境从MARC记录中任意读取各字段数据的一种方法。
This article proposed a new type of MRF (Markov random fields) hybrid multi-order prior for Bayesian reconstruction, which combines quadratic smoothness priors of different orders.
基于贝叶斯重建，本研究提出了一种应用于贝叶斯重建中新的综合了二次一阶先验和二次二阶先验的马尔可夫随机场混合多阶先验。
Due to the problems to infrared image segmentation using Markov random fields, a method for infrared image segmentation based on triplet Markov fields using mixture gauss model was proposed.
针对马尔可夫随机场在红外图像分割方面存在的问题，给出了一种基于混合高斯模型的三马尔可夫场红外图像分割算法。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields(MRFs) models.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的最大后验概率估计。
Based on the geometric meaning of the reliability index, the optimization method for the reliability computation is constructed, and the correlated abnormal distribution random fields are addressed.
对非正态分布、相关变量随机场进行了处理，依据可靠指标的几何意义建立了可靠度计算的优化算法。
We analyzed, designed and achieved a module of Chinese word segmentation and Part-Of-Speech Tagging based on Condition Random Fields model.
分析、设计和实现了一个基于条件随机场模型的汉语分词和词性标注模块。
We analyzed, designed and achieved a module of Chinese word segmentation and Part-Of-Speech Tagging based on Condition Random Fields model.
分析、设计和实现了一个基于条件随机场模型的汉语分词和词性标注模块。
应用推荐