提出新的源代码相似性度量方法。
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。
Mutual information has been widely used in image registration as an effective similarity measure.
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。
A novel method for spectral similarity measure, which is called nonlinear spectral Angle mapper, is presented.
针对高维数据的相似性度量问题，提出了一种基于子空间的相似性度量方法。
Aiming at the similarity measurement of high dimensional data, the paper put forward a new method based on subspace.
提出了两种基于信息嫡的相似性度量方法：嫡差分距离度量和最大相关嫡度量。
We propose two methods of similarity measurement: entropy difference distance measure(ED) and maximum relative entropy distance measure(MRE) .
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。
Based on the method of similarity measure, it proves that the equivalence relation of rough set can be transformed into fuzzy equivalence matrix comp.
该模型可有效地改进传统协同过滤模型相似性度量方法，提高了用户相似性度量准确性。
This model may effectively improve the traditional collaborative filtering method used to compute the similarity between users, and enhances the accuracy of user similarity measurement.
如果有一个适当的相似性度量方法或一个结合图表形式的向量表示空间，统计学习技术则可以被用上。
Other statistical learning techniques are applied to these if given an appropriate proximity measure or a vectorial representation space found by graph embeddings [79].
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。
Based on the analysis of geometric attributes and characteristic of spectral Angle mapping, a novel similarity measure is presented in this paper.
针对不同特点的图像，融合不同的图像特征，并采用不同的相似性度量方法，提高了图像检索的准确率。
Fusing different image features and using different similarity measures depending on different characteristics improves the accuracy of image retrieval.
基于产品相似度计算模型的复杂对象分解的相似性度量方法比传统距离度量方法能更准确的预测新产品的市场情况。
The decomposed similar measure method based on the telecom product similarity computing model can forecast market conditions of new product more accurate than the tradition measure methods.
面对这种研究现状，本文详细分析了基于内容的图像检索的各种特征提取方法、相似性度量方法以及相关反馈技术等。
According to that, the paper expatiates on key technologies used in CBIR researches, such as feature extracting, similarity measuring, and relevance feedback, etc.
精化和构建阶段有很多的相似性，这些相似性导致它们有相似度量方法。
The Elaboration and Construction phases have a number of similarities that lead to similar approaches to measurement.
利用非相干光相关操作处理和空间移位编码方法，实现了基于相似性度量的灰阶图像匹配处理。
Using an incoherent optical correlator and a shift encoding method, the processing of gray sclae image matching based on similitude measurement was realized.
基于聚类的入侵检测方法大都是以距离差异为基础的，而同等重要地依赖所有属性的相似性度量会引起误导。
Intrusion detection methods based clustering are based on distance difference, but to depend on the similarity measurement of all attributes in the same degree tend to arouse misleading.
该方法利用相似系数在各构件的耐久性指标序列之间进行相似性度量，并形成了具有分类功能的模糊等价矩阵。
The method measures the similarity of durability index series of components by the use of similarity coefficient and forms a fuzzy equivalence matrix with sort function.
实验结果表明，基于光谱多边形的方法能够更有效地综合应用反射率和波长二维信息，有效度量光谱向量相似性。
It proved that the approach based on spectral polygon can be used to similarity measure and image retrieval effectively because of its synthetic applications to albedo and wavelength information.
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。
Two problems are involved: view classification and similarity measure between 2D sketch and views.
该方法对笔迹中局部细微结构的书写变化趋势进行描述，并采用加权距离度量方法进行笔迹相似性度量。
The proposed method depicts the writing trend of local fine structures in handwritings and USES weighted distance metrics to measure the similarity between handwritings.
相似性度量是金融时间序列挖掘中的一项关键技术，但现有的度量方法不适合分析小规模的金融多元时间序列。
Similarity measure is a key technology of time series mining, whose existing methods are not available for the analysis of small-scale multivariate time series.
高光谱图像分割实验结果表明该方法在光谱相似性度量上优于传统的光谱角制图方法。
Experimental results of Hyperspectral image segmentation show that our method is better than traditional spectral Angle mapping method.
这种度量方法可以计算出两个规则集之间的正相似性与负相似性。
The evaluation measurement can measure positive similarity and negative similarity between two rule sets.
这种度量方法可以计算出两个规则集之间的正相似性与负相似性。
The evaluation measurement can measure positive similarity and negative similarity between two rule sets.
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