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The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra-
group similarity while minimizing the inter-group similarity．
The first and foremost question needed to be considered in cluste
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一种基于方向信息的鲁棒型Hausdorff距离匹配方法。该方法采用方向信息提取图
像边缘,通过计算边缘匹配率( edge matching rate, EMR)获得候选匹配区域,然后采用修正后的Hausdorff距离构造
相似性测度。实验结果表明,该方法加快了匹配过程,提高了抗噪性能,并能够准确匹配含有遮挡和伪边缘点的图
像,从而解决了基于传统Hausdorff距离匹配方法因噪声点、伪边缘点和出格点而造成的误匹配问题。-Based on the direction of inform
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基于相关系数的相关匹配算法的研究，从减少相关系数计算运算量和减少搜索点数量这两个方面对以相关系数作为相似性度量准则的相关匹配算法进行改进-Based on the correlation coefficient of correlation matching algorithm, the correlation coefficient calculated from the reduction of computation and reduce the number of search poin
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The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
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-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
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A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects,
is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
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本文以面向相似性的时间序列数据挖掘为主题，从时间序列的相似性研究出发，研究了时间序列的表示方法、时间序列的相似性度量、相似性搜索和索引、时间序列数据挖掘的原型系统等问题。-In this paper, for the similarity of time series data mining theme, from the time series of similar studies, studies the representation of time series, time series,
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码剽窃是程序设计课程中经常出现的一种作弊行为，检测剽窃的源代码，验证学生程序作业的原创性在教学中很重要．程序代码的相似度度量是剽窃检测的关键技术．-Code plagiarism is one kind of cheat behavior,which appears frequently in the
programming curriculum．Detection of source code plagiarism is important to verify the originalit
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An immediate observation for those who deal with the processing of signals is the
omnipresence of the concepts of frequency, which are called “spectra” here. This
presence is important in the fields of theoretical research as well as in most appl
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The region is iteratively grown by comparing all unallocated neighbouring pixels to the region. The difference between a pixel s intensity value and the region s mean, is used as a measure of similarity. The pixel with the smallest difference measure
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Abstract—In this study, we propose a novel approach for accurate
3-D organ segmentation in the CT scan volumes. Instead of
using the organ’s prior information directly in the segmentation
process, here we utilize the knowledge of the organ to v
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基于弧度距离的时间序列相似度量,分段线性分割算法-Time series similarity measure based on the curvature of the distance
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The Clustering with Multi-Viewpoint based
Similarity Measure
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针对
１２８
维
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特
征向量，采用距离匹配和余弦相似度匹配相结合的测度方法，利用特征点方向一致性进一步降低误匹配率
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实验结
果表明：改进算法对图像的缩放、旋转、光照、噪声和小尺度的视角变换均有较好的匹配效果
．
与原算法相比，在保
证匹配点数和匹配时间的基础上，改进算法对旋转、缩放、噪声模糊和光照变换的误匹配率平均降低
１０％～２０％
，
对于小尺度的视角变换，误匹配率平均降低
５％．
-For 128-dimensi
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New Similarity Measure of Fuzzy Sets for Face Recognition in Image Sets-New Similarity Measure of Fuzzy Sets for Face Recognition in Image Sets
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spectral clustering with fuzzy similarity measure
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Data mining is the process of extracting potentially useful information from a data set. Clustering is a popular data mining technique which is intended to help the user discover and understand the structure or grouping of the data in the set accord
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一种基于局部梯度比率特征度量SAR图像相似性的新方法-A new method for SAR image similarity measure based on local gradient ratio characteristic .pdf
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我们设计一个新奇的规则化框架以学习相似性度量用于无约束人脸验证。我们形式化它的目标函数通过融合鲁棒性对于大规模的个人人脸的内部变化和新奇的相似性度量的辨别力。额外，我们的形式是一个凸优化问题，保证了全局最优解的存在。-we migrate such a geometric
model to address face recognition and verification together
through proposing a unified archetype hull rankin
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