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Based on the concept of false neighbor, this paper gives the method of computing suitable embedding parameters.

在虚假邻域概念基础上,给出了合适的嵌入参数的确定方法。

In this paper,a novel kernel based SOM algorithm is proposed.we replace the Euclidean norm in the SOM training procedure with kernels,which is equivalent to change the metric of distance in input space.

引言 Kohonen提出的自组织特征映射理论(Self OrganizingMaps,SOM) [1 ] 具有聚类、自组织、自学习以及可视化的功能,已广泛的应用于模式识别、数据挖掘、故障诊断等邻域

It is proved that the proposed method can make the estimation of generalized error converge to a small neighborhood of the origin.

文中证明了此方法可使广义误差估计值收敛到原点的小邻域内。

A region superresolution spectrum estimation method based on coventional DFT computation is presented for obtaining one dimensional range profile, which has the advantages of real-time in computation and robustness under clutter and noise background over general superresolution methods. A iterative extropolation method based on both priori knowledge provided by conventional DFT spectrum and matching filtering process of target return data is also presented for range profile processing, which has the advantages of robustness in improving range resolution, suppressing clutter and noise.

在目标一维距离成像谱估计中,提出了以常规DFT为基础的邻域超分辨谱估计方法,它与普通超分辨算法相比,具有实时性强、在杂波与噪声背景中稳健性好的优点;在外推成像处理中,提出了以常规DFT目标结构图像为约束条件并结合目标信号准匹配滤波处理的迭代外推算法,其优点是稳健性好,能适度地提高距离分辨力但保留适度的抗杂波抗噪声能力。

A new iterated local search algorithm with cylce exchange neighborhood is developed to solve a class of clustering problems.

提出一种新型的基于环交换邻域的迭代局部搜索算法,用于求解一类聚类问题。

According to the linear stability condition of fixed point, a method of chaotic control is presented.

根据不动点的线性稳定条件,提出了一种混沌控制方法,通过对系统不动点邻域内的状态变量进行扰动,将系统引导至不动点。

Theory and realization of neighbourhood image frame buffer.

邻域图像帧存的理论及其实现。

First the paper uses the five restrictions to the stereo matching process introduced by Marr and Frisby to restrict the searching area,then brings forward an advanced method to measure the comparability of point features based on Multi-Neighborhood support technology.

该算法首先使用Marr和Frisby提出的立体匹配的五大约束限定搜索区域,然后使用了多邻域支持技术对点特征相似性的评价方法进行了改进,最后引入了左/右以及上/下两种对称性测试过程和迭代技术以提高匹配的精度。

Feature Selection, Differential Evolution, Fuzzy Logic Controller,Geodesic distance,Neighborhood Rough Set Model

中文关键词:特征选择,差分演化算法,测地距离,邻域粗糙集模型

A generalized Gaussian Laplacian eigenmap algorithm based on geodesic distance is proposed,which incorporates geodesic distance and generalized Gaussian function into the original Laplacian eigenmap algorithm.GGLE algorithm can adjust the similarities between nodes of neighborhood graph,and can preserve the different degrees of local properties by using super-Gaussian function,Gaussian function or sub-Gaussian function.Moreover,GGLE can avoid the deficiency of Euclidean distance by using geodesic distance when neighborhoods of data points are enlarged for preserving more neighborhood relations.Experimental results show that the global low-dimensional coordinates obtained by GGLE have different clustering properties and different degrees of preserving local neighborhood structures when different generalized Gaussian functions are used to measuring the similarities between high-dimensional data points.(3) An ensemble-based discriminant algorithm based on GGLE is proposed.

该算法将测地线距离和广义高斯函数融合到传统的拉普拉斯特征映射算法中,可以调整近邻图结点间的相似度,通过选择超高斯、高斯或者次高斯函数来实现不同程度的近邻局部特性的保持;而且当需要保持更多的近邻关系使得数据点邻域增大时,采用测地线距离可以避免欧氏距离度量不合理的缺陷;实验结果表明在用不同的广义高斯函数度量高维数据点间的相似度时,局部近邻结构保持的程度是不同的,GGLE获得的全局低维坐标也呈现出不同的聚类特性。

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