A kind of local image self similarity measure is defined.
定义了一种局部图像自相似性测度。
Normalized mutual information was adopted as the similarity measure.
使用归一化互信息作为相似性量度。
The time series similarity measure and its characteristics were studied.
剖析了时间序列的相似性度量及其特点。
A shape similarity measure is defined on the extracted rotation invariants.
基于这些旋转不变量给出了一种形状相似性度量。
Choice of a similarity measure depends on the type of data present and your testing.
应该根据数据和测试类型来选择相似度度量。
We research approximate reasoning method based on above method of similarity measure.
同时进行了基于这种相似度量方法的近似推理研究。
The relations between similarity measure and distance measure of Vague sets are analyzed.
讨论了相似测度与距离测度之间的关系。
During the process, the normalized cross correlation function is used as the similarity measure.
在景象匹配过程中，选用归一化互相关系数作为相似性度量。
You'll find more information on choosing a similarity measure at the Mahout Web site (see Resources).
有关如何选择相似度度量的更多信息，请访问 Mahout网站（见 参考资料）。
Mutual information has been widely used in image registration as an effective similarity measure.
互信息是图像配准技术中广泛应用的一种相似性度量方法。
Two problems are involved: view classification and similarity measure between 2D sketch and views.
该方法涉及以下2个问题：视图分类、2维草图与视图之间的相似性度量。
The problems relating to cluster include data preprocessing, similarity measure and cluster validity.
与聚类相关的问题的有数据预处理、相似性度量、聚类有效性等。
After that a linear skeleton topological similarity measure algorithm based on skeleton tree is detailed.
本文给出了一种基于骨架树的线性骨架拓扑相似性度量算法。
A novel method for spectral similarity measure, which is called nonlinear spectral Angle mapper, is presented.
提出了一种新的光谱相似性度量方法，即非线性光谱角制图。
In this paper, we will study the similarity measure of interval-valued fuzzy sets and its application problem.
本文主要研究区间值模糊集的贴近度及其应用的问题。
In this new similarity measure, main structure of the graph is first measured according to the topological common subgraph.
鉴于这种情况，将最大拓扑公共子图法与编辑距离测量法相结合，提出了一种新的相似性测量方法。
In this dissertation, the problems of the similarity measure of mechanical products system are researched based on characteristics.
本课题对基于特征的机械产品系统的相似度量的相关问题进行了研究和探讨。
This paper presents a method to recognize digit and small set and Multi-font Chinese character based on similarity measure of Fuzzy Model.
文章提出了一种基于模糊相似测量的小类别数多字体汉字及数字识别方法。
Experiment results show that similarity measure based on fuzzy mutual information has less local extremums and better optimization character.
实验表明，模糊互信息函数比互信息函数具有更少的局部极值点和更好的优化特性。
The Euclidean distance is usually chosen as the similarity measure in the conventional K-NN algorithm, which usually relates to all attributes.
传统的K-近邻算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。
Based on the analysis of geometric attributes and characteristic of spectral Angle mapping, a novel similarity measure is presented in this paper.
在分析传统光谱角制图方法的几何属性和相似性度量特点的基础上，提出一种新的光谱相似性度量方法。
Similarity measure is usually used to study the similar degree between multisource data, which is the basis of pattern recognition on spatial data.
相似性度量是用于研究多源数据之间相似程度的，是对空间数据进行模式识别的基础。
Based on the method of similarity measure, it proves that the equivalence relation of rough set can be transformed into fuzzy equivalence matrix comp.
在这种相似性度量方法基础上，证明了粗集的等价关系可以被转化为模糊等价矩阵。
It is proven that with specific parameter, Background Suppressed similarity measure is equivalent to the posterior probability of the matched feature.
经证明，在特殊参数时，背景抑制指标等价为特征匹配的后验概率。
In content based image retrieval system, search engine retrieves the images similar standard to the Cey words query image according to a similarity measure.
在基于图像内容的图像检索系统中，搜索引擎检索图像类似于按照相似标准来查询图像。
The Euclidean distance is usually chosen as the similarity measure in the conventional K-means clustering algorithm, which usually relates to all attributes.
传统的K-均值算法选择的相似性度量通常是欧几里德距离的倒数，这种距离通常涉及所有的特征。
The spectral vector can be used to retrieval directly, and the spectral angle and spectral information divergence (SID) are (effective) in similarity measure.
基于光谱曲线的相似性度量可以采用光谱角和光谱信息散度进行；
The spectral vector can be used to retrieval directly, and the spectral angle and spectral information divergence (SID) are (effective) in similarity measure.
基于光谱曲线的相似性度量可以采用光谱角和光谱信息散度进行；
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