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co-occurrence中文是什么意思

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  • Secondly , we review the segmentation methods of image integrated with texture information , and then we make a texture analysis on a human liver ct image through texture feature parameter based on co - occurrence matrix
    接着分类研究了纹理图像的分割方法,并针对医学图像,特别是人体内脏的医学图像所包含的纹理信息的特点,利用共生矩阵及其各种纹理特征参量对一幅人体肝脏的ct图像进行了纹理分析。
  • Based on the result , a region - growing algorithm is proposed , through extracting texture parameter that based on co - occurrence matrix from image . this method makes use of gray and texture information . finally , the method is implemented by program language
    基于这一分析结果,本文利用灰度共生矩阵及其特征参量,提取图像的纹理特征,并利用所提取的纹理特征设计一种结合灰度和纹理特征的区域增长算法以实现纹理图像的分割。
  • Based on different texture of the face and the inverse of leather , this paper extracted characteristic vector of the face and the inverse of leather using co - occurrence matrix and classified the face and the inverse of leather using fisher classifier and nn base on characteristic vector
    由于皮革正面和反面具有明显不同的纹理特征,本文用共生矩阵提取皮革正反面的纹理特征,并根据提取的特征向量采用分类器对皮革正反面进行自动识别和分类。
  • The " preferring " method , on the other hand , generates semantic restricted rules for each sense - atom according to the co - occurrence sets obtained from a large corpus . this method makes the evaluation of a word by comparing its sense environment and the restricted rules
    排歧模型首先利用大规模的语料库获取义原的同现集合,并根据转换模板构造出义原的初始限制规则,再通过手工的方式对初始规则进行修改与调整,以得到一个较完善的规则集。
  • The analysis of twenty - two pieces of deceptive confessions shows that five kinds of verbal cues occur with a notable higher frequency than the others in deceptive confessions , the co - occurrence of which well reveals the psychological states and processes of the lying suspects
    本研究通过对二十二篇虚假供词语篇的分析发现:五种欺骗的语言线索出现的频率显著高于其他线索;这五种语言线索在虚假供词中同时出现的情况清楚地揭示了撒谎者的心理状态和过程。
  • A domain - independent dictionary - free lexical acquisition model is presented in this paper , which introduces a self - increasing algorithm to acquire the co - occurrence patterns of chinese characters , and introduces some criteria such as support and confidence to filter these co - occurrence patterns to get lexical items
    摘要本文提出了一种非受限无词典抽词模型,该模型通过自增长算法获取中文文档中的汉字结合模式,并引入支持度、置信度等概念来筛选词条。
  • Much emphasis has been put on chapter five , which presents a research designed and conducted based on four most influential studies to test the feasibility as well as predictability of some deception detecting criteria from stylistic point of view . after analyzing up to 20 sample hearing transcripts from two highlighted " white - collar " cases , i . e . enron and worldcom , eight stylistic markers derived from previous studies were found to occur in witness / suspect ' s narration , among which five are related to deception at a statistically significant level , with some criteria showing high tendency of co - occurrence
    以安然能源和寰球电讯两宗震惊世界的商业诈欺案听证会笔录为研究对象,综合四项文体分析研究成果,列出商业诈欺案件疑犯证词中出现频率最高的八个文体标记,通过科学的统计分析发现,其中五个标记的使用与欺骗有关,并且某些标记同时出现的可能性较高,因此可以作为揭示欺骗的标准。
  • The author uses the stabilization of parameter to combine the isolated images and process . with the help of matlab plat form , firstly we use binary image , rgb color space and yiq color space , gray co - occurrence matrix and shape analysis to deal with the images , then we use the stabilization of parameter to deal with the data . the result of recognition is good
    作者首先采用rgb颜色空间处理法、 yiq颜色空间处理法、二值化图像处理法、灰度共生矩阵处理法、形状分析法对图像进行处理,处理后所得到的数据再用参数稳定性处理法处理,这样,就将图像与与其所在过程结合起来,实践证明,运用这样的处理方法所得到的识别效果较好。
  • In this dissertation a new statistical tool called as grey - primitive co - occurrence matrix is proposed , which is based on predefined specific primitive texture structures . the features extracts from a set of this type matrix can be formed as a primitive texture feature vector and used in retrieving images from image database
    本文将统计方法与结构方法有机地结合起来,构建了纹理基元,提出了描述纹理图像的灰度?基元共生矩阵,从这个矩阵中提取用以描述图像的特征值,并组成检索图像的特征向量。
  • Chapter four describes the method of " preferring " disambiguation . it gives a detailed introduction about the acquirement of the co - occurrence sets , the generation of restricted rules , the determination of the sense environment , and the algorithm of word sense and multiple structure disambiguation
    第四章主要介绍了针对中间语言进行的优选语义排歧的方法,详细地给出了义原同现集合的统计、限制规则的生成、语义环境的确定、义项的评价、词义的选择及结构的排歧、语义结构调整等一系列算法。
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  • 英文解释
  • 百科解释
Co-occurrence or cooccurrence is a linguistics term that can either mean concurrence / coincidence or, in a more specific sense, the above-chance frequent occurrence of two terms from a text corpus alongside each other in a certain order. Co-occurrence in this linguistic sense can be interpreted as an indicator of semantic proximity or an idiomatic expression.
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