A score function for optimization based on maximum mutual information entropy with odditional restriction is proposed.
提出了基于最大互信息熵且具有奇数约束的优化得分函数。
This paper proposed a mutual information based method for generating videoion.
提出了一种基于交互信息量的视频摘要生成方法。
The new image multi-threshold method based on fuzzy mutual information is proposed.
提出了多阈值模糊互信息图像分割新方法。
The experiment results showed that improved mutual information algorithm was feasible.
实验结果显示改进的互信息算法是可行的。
An image annotation method based on mutual information and constrained clustering is proposed.
提出一种基于互信息约束聚类的图像标注算法。
Several feature selection methods were analyzed. An improved mutual information algorithm was proposed.
分析了常用的几种特征选取方法，提出了改进互信息算法。
On feature selection, document frequency was combined with mutual information, and performance was improved.
特征选择的方法上，结合了文档频数和互信息量，并对他们进行了改进。
Based on information entropy and mutual information, we proposed the definition of nonlinear partial autocorrelation.
本文在信息熵和互信息的基础上，提出了非线性偏自相关的定义。
Based on information theory, some examples which reflect the principle of mutual information in daily life are given.
基于信息论，例举出了日常生活中的一些实例，体现出互信息原理在日常生活中的应用。
Gives a new algorithm of medical image registration based on maximum of mutual information and edge correlative deviation.
给出了一种基于最大互信息和边缘互方差的医学图像配准算法。
Mutual information layer achieved communication between upper machine and welding machine by custom communication protocol.
信息交互层按照自己制定的协议实现上位机同焊机的通信。
METHODS a multimodality medical image registration method based on mutual information and simulated annealing was presented.
方法提出了一种基于互信息和模拟退火算法的医学图像配准方法。
A concrete algorithm of selecting delay time in the state space reconstruction in the mutual information method is introduced.
介绍了相空间重构中确定重构延迟时间的互信息法理论及其具体的计算方法。
Second, the method of constructing fuzzy membership function is proposed in image segmentation based on fuzzy mutual information.
其次将模糊互信息量用于图像分割时给出具体隶属度函数的构造；
The automatic pinyin tagging strategies include: conditional probability strategy, mutual information strategy and rule strategy.
所采用的多音字自动注音策略有以下三种：条件概率策略、互信息策略以及规则策略。
A new fast algorithm was presented to accelerate the computation of mutual information of images based on kernel density estimate.
针对基于核密度估计的图像互信息估计法运算量很大的问题，提出了一种快速互信息估计算法。
The basic concepts of uncertainty, information entropy, united entropy, term entropy and mutual information were introduced briefly.
简要地介绍了不确定性、信息熵、联合熵、条件熵、互信息的基本概念。
A novel technique based on mutual information and thin-plate spline is proposed for the registration of coronary angiography images.
本文提出了一种基于互信息量和薄板样条的冠状动脉造影图像弹性配准新方法。
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。
Finally, the optimal thresholds of image segmentation based on fuzzy mutual information is obtained by means of chaos optimization method.
最后采用混沌优化法来获得多阈值模糊互信息分割方法的最佳阈值。
Aiming at this case, a robust and real-time stereo match algorithm based on mutual information is proposed in view of practical applications.
本文针对这种情况，并从实时应用的角度出发，提出一种鲁棒的基于互信息的实时立体匹配算法。
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。
This paper aims to research registration of CT and MRI images of caput based on gradient and normalized maximization mutual information method.
本文研究了基于最大互信息和图象梯度组合的人脑CT与MRI多模医学图象配准算法。
In order to get the semantic correlation of images, two learning methods based-on mutual information and image association factor, are proposed.
提出了基于互信息的图像间语义关系学习方法和基于图像关联因子的图像间语义关系学习方法。
The theory of maximum mutual information is applied into speech recognition , maxi- mum mutual information estimation is used as object function .
将最大互信息理论用于语音识别，最大互信息估计作为目标函数。
Based on the theory of maximum entropy, MEFS USES mutual information and Z-test technologies, and takes two-step method to execute feature selection.
MEFS在基于最大熵原理的基础上，运用互信息和Z -测试技术，采用两步方法进行空间特征选择。
A multiresolution registration method using mutual information combined with a stochastic optimization technique is presented to solve these problems.
提出了一种结合互信息和随机优化技术的多分辨率配准方法。
Our results show that all experiment conditions, cognition levels and areas of the brain have influences on the value of mutual information complexity o.
结果表明，不同的实验状态、不同认知能力的被试者以及大脑的不同部位均可对互信息复杂度产生显著影响。
There are many kinds of image fusion methods, such as information entropy, mutual information, mean square error, peak signal to noise ratio and mean grads.
医学图像融合的效果评价方法有很多，如信息熵、互信息、均方值、峰值信噪比和平均梯度等。
There are many kinds of image fusion methods, such as information entropy, mutual information, mean square error, peak signal to noise ratio and mean grads.
医学图像融合的效果评价方法有很多，如信息熵、互信息、均方值、峰值信噪比和平均梯度等。
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