Cross Entropy& A Tool of Disambiguation for Computer Linguistics

Analog circuit fault diagnosis based on cross-entropy method and support vector machine

基于交叉熵方法和支持向量机的模拟电路故障诊断

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Research on image transition region extraction and compression based on cross entropy

基于交叉熵的图像过渡区提取与压缩研究

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Motion Region Detection Based on Cross Entropy in Image Sequences

图像序列中基于交叉熵的运动区域检测

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A New Fast Noniterative Algorithm for Minimum Cross-Entropy Spectral Analysis

最小交叉熵谱分析的非迭代快速算法

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Blind Estimation of SNR Based on Differential Logarithmic Cross Entropy

基于差分对数交叉熵的信噪比盲估计算法

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2-D minimum cross entropy based on genetic algorithm for dynamic image segmentation

基于遗传算法的二维最小交叉熵的动态图像分割

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Document Image Identification Approach Based on Generalized Histogram and Relative Entropy

基于直方图和交叉熵的文本图像识别方法

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An Approach to Positron Emission Tomography Based on Penalized Cross-Entropy Minimization

基于惩罚交叉熵极小的正电子放射成像技术

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Solving Vehicle Routing Problem with Stochastic Demands Based on Cross-Entropy Method

基于交叉熵法解决随机需求车辆路径问题

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The experimental results show that, proposed methods are more effective in segmenting infrared small target image, compared with the thresholding methods of the maximum entropy, the Otsu and the asymmetric cross-entropy based on oblique segmentation of 2-D histogram.

与基于二维斜分的最大熵、Otsu及非对称交叉熵等三种阈值选取方法进行了比较，该方法在小目标分割效果上具有明显的优势。

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While dealing with the vehicle routing problems with stochastic demands for each subsystem, in order to improve the cross-entropy algorithm's performance, an adaptive adjustment scheme was developed for the routes used to update Markov transition matrix in terms of the improvement level of quintiles.

对解决子系统随机需求车辆路径问题，为提高交叉熵法性能，对用于更新Markov转移矩阵的路径，设计了根据分位值改变大小的自适应调整方法。

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As the test scheduling problem has been verified to be NP problem, this dissertation adopts a new optimization algorithm based on probability density distribution called cross-entropy method for test scheduling.

由于测试调度问题已被证明属于NP完全问题，本文采用一种新的基于概率密度分布的优化算法&交叉熵方法，对其进行求解。

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Content-adaptive mesh modeling is an efficient method for image representation. In this paper, the minimum cross-entropy algorithm using prior anatomical information, combined with mesh model, was applied to the reconstruction of PET images.

基于内容的自适应三角形网格模型是描述图像的一种有效方法，本文将网格模型与最小交叉熵算法相结合，并加入先验解剖信息，用于PET图像重建。

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On the basis of studying the channel and source information, the paper introduces a common scaling factor and finds that the scaling factor has deep relationship with the cross-entropy which implies the performance of Turbo decoding.

在研究这2种信息关系的基础上，引入了共用的比例因子，发现比例因子与暗示译码性能的交叉熵（cross entropy）有着密切的联系；

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Cross-entropy approach for tool path planning of PCB drill machines

求解PCB钻孔机刀具路径规划的交叉熵方法

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Crossing wild G. The Crossing Entropy is defined to scale the similar level of two probability distribution.

试验用二倍体亚洲棉G。交叉熵是对一个分布与其近似分布的接近程度的度量。

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Minimum Cross-Entropy Reconstruction of PET Images Based on a Content-Adaptive Mesh Model

基于网格的最小交叉熵算法在PET图像重建中的应用

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An Image Segmentation Algorithm Based on Cross Entropy and Curve Evolution

基于交叉熵及曲线进化的图像分割算法

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A large number of experiments show that this algorithm is better than other classical algorithms such as cross entropy, region homogeneity, region contrast.

大量的实验表明，该算法优于经典的最优分割评判标准如交叉熵、区域一致性和区域对比度，而且在极少损失分割效果的情况下，ICM模型更为有效地降低了执行时间。

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Compare to the rule method, our method may rapidly improve the precision in the precondition of lower descendent of recall.

与基于规则的方法相比，本方法可以在召回率没有明显下降的情况下大幅度提高基本名词短语识别的精确率。

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