Joint entropy

A Mutual Information and Joint Entropy Based Method for Shot Change Detection

基于交互信息量和联合熵的镜头检测算法

Solution to joint entropy with multi - layer index structure

基于多层索引结构的联合熵算法研究

Nonlinear Dynamical Complexity Analysis of Short-term Heartbeat Series Using Joint Entropy

用联合熵分析短时心率变异信号的非线性动力学复杂性

Research on the correlation of drought / flood spatial fields by using joint entropy

基于联合熵的旱涝空间场关联性研究

Joint Entropy of Credibility Distributions for 2-dimensional Fuzzy Vectors and Its Properties

二维模糊向量可信性分布的联合熵及其性质

Based on the joint entropy of random variables , we introduce the problem of finding entropy diversity patterns .

基于衡量随机变量之间依赖性的联合熵，我们引入了二值型数据上的熵多样性模式挖掘问题。

Joint entropy is applied to detect boundary points of clusters in these grids and therefore increases algorithm precise .

联合熵技术用于在边界落入的网格范围内准确地识别聚类的边界点，这样提高了算法的精度。

Compared with the evaluation method of entropy and joint entropy , it was shown that mutual information was a good evaluation criterion .

通过将它与采用熵和联合熵的评价方法相比较，实验结果表明交互信息量是一种很好的评价方法。

The essay first proves the result is untenable if the conception of Joint entropy is applied to such random vectors .

首先论证了联含熵概念应用于这样的随机向量时，所得结果不能成立；

At last , using the joint entropy method , the authors uncover nonrandom patterns in the ventricular response to atrial fibrillation .

最后，用联合熵方法来考察短时心率变异性信号的非随机性程度，该方法可以有效的揭示心室对心室纤维性颤动响应的非随机模式。

The value of the average mutual information between two aligned sequences divid their joint entropy was used as a measure for their similarity .

将两条比对后的序列间的平均交互信息量与它们的联合熵之比作为它们的相似性度量。

At first , the joint entropy method is demonstrated by applying it to the low-dimensional nonlinear deterministic systems such as logistic map and henon map .

我们首先介绍联合熵基本理论，用低维的混沌序列进行了检验，证明该方法有效。

An anonymity metrics model with three properties based on joint entropy is given in this paper . The three properties are identifiable , linkable and traceable respectively .

提出了基于联合熵的多属性匿名度量模型，该模型基于识别性、连接性、跟踪性等匿名属性。

In this paper , four kinds of methods to integrate SAR and TM imges are analyzed contrastively , and evaluated quantitatively using entropy , joint entropy and average gradient .

文中对比分析了4种复合方法，并且用熵、联合熵及平均梯度进行了定量评价。

It shows that the quantitative analysis using entropy , joint entropy and average gradient is better than visual quantitative analysis , and provides the way to choose the most suitable IHS transformation for combining images .

试验结果表明：用熵、联合熵和平均梯度这3个客观定量指标评价复合效果不仅比目视评价准确有效，而且提供了选择最佳IHS变换用于复合的方法。

A novel method of tomography image processing is presented for polymer configuration of extrusion , according to the relation of joint entropy , condition entropy , mean mutual information and mutual information chain rule for multidimension random variable in the theory of optics information .

依据光学信息论中的多维随机变量的联合熵、条件熵、平均互信息之间关系和互信息的链式法则，提出了面向挤出中聚合物形态的层析图像处理方法。

Multi-Modality Medical Image Registration Based on Regional Joint R é nyi Entropy

基于区域联合Rényi熵的多模医学图像配准