• In this paper, an automatic approach for thresholding based on gray level gradient co occurrence matrix model and the maximum entropy principles is proposed.

    提出了一种基于灰度-梯度共生矩阵模型和最大熵原理的自动阈值化方法。

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  • Rules like these are often called co-occurrence constraints or simply co-constraints.

    这类规则通常称为同现约束或者称为共同约束。

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  • As I stated earlier, the title and gender are used as an example of a common co-occurrence constraint.

    如前所述,本文使用称呼和性别作为一个常见同现约束的例子。

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  • As you see later, the title and gender details are at the center of the co-occurrence constraints example.

    稍后可以看到,称呼和性别信息在同现约束的中央。

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  • A common example is a co-occurrence constraint, where the constraint on one part of a document depends on another.

    一个常见示例就是同现约束(co - occurrence constraints),在这种情况中,文档某部分的约束取决于其他部分。

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  • Implementing simple co-occurrence constraint validation.

    实现简单的同现约束验证。

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  • In conclusion, Schematron is a good complement to XML Schema when you deal with co-occurrence constraints, for example, or if you require an XML reporting tool.

    总而言之,当处理同现约束,或者需要一个XML报告工具时,Schematron是XMLSchema的一个很好的补充。

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  • With XML Schema version 1.1, it is possible to define assertions on the content of the XML document, including co-occurrence constraints but only within a single XML data type.

    在XMLSchema版本1.1中,可以在XML文档内容上定义断言,包括共存约束,但是只能是单一一种XML数据类型。

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  • An example for XML schema is not included, since XML schema in its current version 1.0 does not support the evaluation of co-occurrence constraints.

    XML模式的例子并未包括,因为目前版本为1.0的XMLSchema并不支持对共存约束的评估。

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  • In addition, a pattern analysis of SHG images using grey-level co-occurrence matrix (GLCM) was carried out, a well-established method for scoring collagen organization in skin.

    另外,还使用了灰度共生矩阵(GLCM)的方法对SHG图像分析,GLCM是一种对皮肤胶原组织评分的通用方法。

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  • The algorithm divides tag co -occurrence network based on tag node's centrality and similarity, and automatically generates a cluster feature tag after clustering to represent that cluster.

    算法基于标签节点的核心度和相似性对标签共现网络进行分割,并在聚类后自动生成该类的特征标签来代表该类簇。

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  • Experiments demonstrated that the color block co-occurrence matrix descriptor considerably improves the retrieval performance and can combine the feature of color and texture effectively.

    实验结果表明,彩色子块共生矩阵描述子能够有效地结合颜色和纹理特征,具有良好的检索性能。

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  • But traditional co-occurrence word retrieval methods used only a single statistic method, so the result is very imprecise, and needs lots of manual collation.

    而传统的共现词提取方法仅仅局限在单一的一种统计量上,其结果十分不精确,需要人工再进行整理。

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  • It is explained that the term co-occurrence graph of text is highly clustered and has short path length, which proves that texts have small world structure.

    为此首先证明由文本形成的词汇共现图呈现短路径,高聚集度的特性,说明小世界结构存在于文本中;

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  • On the basis of which, an improved co-occurrence matrix and histogram are developed to extract the texture and shape features for the image retrieval.

    在此基础上,采用一种改进的基于纹理基元的共生矩阵来获取纹理特征,并结合纹理基元的形状直方图来进行图像检索。

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  • The model is an extension of the traditional co-occurrence model by adding a decaying factor that decreases the mutual information when the distance between the terms increases.

    衰减的共现模型考虑了关键词之间的互信息随距离增加而衰减的因素,在传统共现模型的基础上计入衰减因子扩展而成。

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  • In the candidate building area searching step, an image segmentation method based on grey level co-occurrence matrix (GLCM) is adopted to get candidate building areas in an urban image.

    在建筑物候选区域的寻找阶段,本文主要采用了一种基于灰度共生矩阵的方法对图像进行分割,从分割结果中得到建筑物的候选区域。

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  • In this paper, we use the co-occurrence path to explain the relationship between the index words and extract the semantic information in the term-term matrix to expand the query.

    本文首先利用传递度来量化索引词与索引词间的关联关系,然后利用索引词与索引词的关系矩阵中存在的语义关系对查询向量进行智能扩展。

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  • The feature vector is composed of wavelet texture energy features, texture features based on the gray-level co-occurrence matrix and the tone of filtered SAR image by using tree wavelet.

    该方法将树型小波中颇纹理能量特征、灰度共生矩阵特征、树型小波滤波后的灰度组成的特征矢量对SAR图像进行分类。

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  • It presents a new region growing algorithm with gray level co-occurrence matrix to extract the focus region, the threshold segmentation is applied to improve the edge of segmented region.

    为了提取局部感兴趣区域,给出了一种基于灰度层共现矩阵的区域增长算法,分割出病灶区域,再结合迭代阈值算法进行病灶边界的磨合。

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  • The co-occurrence restrictions between modality and aspect markers can be explained unitarily in terms of the concept distinction between static and dynamic, and that between realis and irrealis.

    “应该”的两种情态与体标记的互动关系可以用“静态”与“动态”、“现实”与“非现实”的概念对立得到统一的解释。

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  • This part observes the co-occurrence of the tendency verb and its object from the Angle of "Ancient" in the Big Triangle in particular.

    本部分着重从大三角的“古”的角度对趋向动词“出来”与宾语同现情况进行考察。

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  • Entropy thresholding method is an automatic technique for thresholding of digital images based on gray level-gradient co-occurrence matrix and the maximum entropy principle.

    它包括二维匹配滤波预处理以增强血管的灰度,以及用灰度-梯度共生矩阵的最大熵阈值化方法。

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  • The gray-gradient co-occurrence matrix of the text region is calculated, and the optimum thresholds of segmented grayscale and gradient are found quickly according to the objective function.

    首先计算文本区域的灰度-梯度共生矩阵,并根据目标函数快速地找到分割的灰度和梯度最佳阈值;

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  • BackgroundMetabolic syndrome (MS) is the co-occurrence of multiple metabolic abnormalities in individuals and this clustering phenomenon drastically increase risk for cardiovascular disease.

    背景代谢综合征(MS)是多种代谢异常同时发生于同一个体的临床现象,可明显增加心血管疾病的危险性。

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  • First selects texture features based on the gray level co-occurrence Matrix and then EBP-OP neural network is used as a classifier. The experimental results show that this method is very effective.

    首先运用灰度共生矩阵提取图像的纹理特征,然后用EBP - OP算法对提取的纹理特征进行分类,并在此基础上实现一组纹理图像的检索,实验证明这种方法是有效的。

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  • A automatic Abstracting method based on reformative co-occurrence model is proposed.

    提出一种改进词共现模型的自动摘要方法。

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  • The paper extracts the text features based on a method of word co-occurrence frequency, which is related to the semantics of document.

    本文基于词的同现频率的方法对文本的特征进行提取,涉及了文档的语义。

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  • Based on the textural analytic theory of gray scale co-occurrence matrix, the geosynchronous satellite IR image analytic system was made.

    根据空间灰度共现矩阵纹理分析原理,制作卫星红外云图纹理分析法系统。

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  • In the first part, we observe from four aspects: alternative limitation, sentence position, solo use and co-occurrence.

    第一部分,从这三个或然语气副词对谓词的选择限制、句中位置、独用以及共现情况四个方面进行了考察。

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