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基于互信息的图像相似性测量。Image similarity using mutual information of regions .pdf
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Hanchuan Peng, Fuhui Long, and Chris Ding, "Feature selection
based on mutual information: criteria of max-dependency,
max-relevance, and min-redundancy," IEEE Transactions on
Pattern Analysis and Machine Intelligence, Vol. 27, No. 8,
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提出了一种优化的图像配准算法。首先把图像中的兴趣点及其角度信息提取出来，利用互信息准则，得到需要的配对点，得到两幅或多幅图像的拼接自然的完整图像, 实验表明，该算法是有效的。-An optimized image registration algorithm. First of all, the image of interest points and their point of view of information extracted, using the criteria of mutu
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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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计算给定矩阵的互信息，这时的相关性是利用互信息来判断，矩阵的形式为邻接矩阵-compute the mutual information of the given matrix such as the matrix the elements in it are 0 or 1.
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AAA基于最大特征点对互信息量的一种新的算法研究，理论分析和实验结果表明,该算法对图像间的旋转角度没有限制,
配准精度高而且计算量较小.
-AAA feature points based on the maximum mutual information of a new algorithm, theoretical analysis and experimental results show that the algorithm for image rotation between
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BBB基于小波分解、互信息测度以及混合优化的图像配准-BBB based on wavelet decomposition, mutual information measure and the hybrid optimization of image registration
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基于互信息熵的图像配准方法，其中包括图像配准的程序，还有程序运行的界面，对于初学图像配准或者利用MATLAB做GUI界面的同学有所帮助-Entropy based on mutual information image registration methods, including image registration procedures, as well as run the interface, image registration for the novice or the use of
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fminunc optimizer and mutual information
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关于交互信息的文档，在国外网站下的，讲得很详细，给给位参考-a pdf downloaded from a foreign website about mutual information
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Describes the arimoto algorithm. It s a lecture cours that explains the entire algorithm of arimoto to compute the capacity.This algorithm maximises the mutual information by iterating many times.The Algorithm also proves that the error by the conver
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协同过滤，相似性算法，非常好的文献，对于系统设计有很大的帮助-Collaborative filtering, similarity algorithm, very good literature, a great help for the system design
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PERFORMANCE ANALYSIS OF MUTUAL INFORMATION DISTRIBUTION IN A MULTIUSER BASED ENVIRONMENT USING OFDM SPATIAL MULTIPLEXING
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红外和可见光的匹配跟踪在军事、遥感等领域有着广泛的应用。针对灰度和图像特征存在比较大差异的红外和可见光图像，本文采用了最大互信息算法，结合形态学梯度和小波分解。互信息算法优点在于不需要对多模图像灰度间的关系做任何假设，不足之处在于它对图像空间信息的忽略而且计算时间较长。本文互信息结合多结构元的形态学梯度检测的图像边缘，可以使得图像匹配精度提高，还能改善局部极值的问题，再利用小波分解对图像进行压缩降低分辨率，可以减少互信息计算量。最后的实验数据表明在配准过程中互信息的计算速度得到了优化，匹配精度得
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基于互信息的分布式压缩感知。本文详细的介绍了分布式压缩感知的原理及应用，将其与互信息联系起来。-Based on mutual information distributed compressed sensing . The detailed introduction to the theory and application of distributed compressed sensing linked with mutual information .
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利用互信息，进行基于互信息的图像超分频重建-A Mutual Information Based Sub-Pixel Registration Method for Image Super Resolution
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在人类的语言交流中，语言事件，如各个音段，声调，韵律边界等都是信息传递的载体，所有的这些语言事件都为人类的语言交流起着不可或缺的作用。一直以来，语言学家通过听觉感知等一些方法来研究各个语言事件在交流中所起到的作用，而在本文我们提出了用互信息的功能负载的方法来度量每个语言事件所包含的信息量。这篇文章主要以韵律的层级结构为研究对象，深入分析了不同韵律层级的作用，并与以前音位的信息量作了初步的对比，结果表明边界信息在语言交流中所起到的作用远大于各个独立音段，在韵律边界层级结构中，层级越高，边界所起的作
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基于互信息的图像配准，优化算法采用Powell算法，采用matlab编写-Mutual information-based image registration, optimization algorithm uses Powell algorithm, using the preparation of matlab-Based on mutual information image registration, using Powell optimization algorithm, using
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Mutual information analysis of the EEG in patients with AD
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