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用visual C++ 编写的基于内容的图像检索系统,主要是通过颜色直方图和欧式距离的-Using visual C++ written in content-based image retrieval system, primarily through color histogram and the Euclidean distance of the
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图像处理的程序,计算欧几里德距离,形态学的方法-Image processing procedures, computing Euclidean distance, morphological method
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基于支持向量机的人脸检测训练集增强算法实现。根据支持向量机(support vector machine,简称SVM)~ ,对基于边界的分类算"~(geometric approach)~
言,类别边界附近的样本通常比其他样本包含有更多的分类信息.基于这一基本思路,以人脸检测问题为例.探讨了
对给定训练样本集进行边界增强的问题,并为此而提出了一种基于支持向量机和改进的非线性精简集算法
IRS(improved reduced set)的训练集边界样本增强算法,用以扩大-91l练集并改
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计算测地距离,测地距离是众多距离的一种,在高维流行数据分布空间上,欧式距离不再适用,这时就可用到欧氏距离-Computing geodesic distance, geodesic distance is a large distance, popular in high-dimensional data distribution space, the Euclidean distance is no longer applicable, then you can use the Euclide
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a clustering algorithm based on kmean clustering which uses the euclidean distance measure
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我做的用Kmeans方法,分别采用欧式距离。夹角余弦,和度量函数的方法来表示两点的相似度-I do use Kmeans methods were used Euclidean distance. Angle cosine, and methods of measurement functions to represent the similarity of two
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聚类分析 计算x中两两之间的欧氏距离 Road Thunder of calculating x in 22 Euclidean distance between-Road Thunder of calculating x in 22 Euclidean distance between
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本程序给出了从背景中分离出行人的matlab源代码.采用提取好的背景和行人的HOG特征,而这些特征又分为未分块和分块两组,所谓分块就是将图片进行细分,提取的特征更细.最后用最小欧氏距离法分类.-This procedure gives the background to separate from the travel people matlab source code. By extracting a good background and pedestrian HOG features, a
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欧氏距离算法计算错误位置多项式,是Berlekamp-Massey的替代算法。消耗的硬件资源比Berlekamp-Massey算法多,但是可以更节省运算时间。-Euclidean distance algorithm to calculate the error position polynomial, is an alternative Berlekamp-Massey algorithm. The consumption of hardware resources is more than
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VC手写数字识别代码,采用的是欧式距离法-VC handwritten digital code, using the Euclidean distance method
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基于内容(颜色)的图像检索,用VC++实现算法——欧氏距离,可以在指定的目录下搜索相似的图案,旗帜,冬景等,是图像检索的最简单的模型,感兴趣的可以下载看看。-Content-based (color) image retrieval, using VC++ algorithm- Euclidean distance, you can search the directory specified similar pattern, flags, winter landscape, are the s
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Minimize the Euclidean distance to a general space curve from a
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In this paper, we present two novel class-based
weighting methods for the Euclidean nearest neighbor algorithm
and compare them with global weighting methods
considering empirical results on a widely accepted time series
classification benchm
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几何距离变换实现源代码,是反走样算法基础-Euclidean Distance Transforms
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program to find the k - nearest neighbors (kNN) within a set of points.
Distance metric used: Euclidean distance
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Kohonen神经网络算法工作机理为:网络学习过程中,当样本输入网络时,竞争层上的神经元计算输入样本与竞争层神经元权值之间的欧几里德距离,距离最小的神经元为获胜神经元。调整获胜神经元和相邻神经元权值,使获得神经元及周边权值靠近该输入样本。通过反复训练,最终各神经元的连接权值具有一定的分布,该分布把数据之间的相似性组织到代表各类的神经元上,使同类神经元具有相近的权系数,不同类的神经元权系数差别明显。需要注意的是,在学习的过程中,权值修改学习速率和神经元领域均在不断较少,从而使同类神经元逐渐集中。-
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In this paper, we present two novel class-based
weighting methods for the Euclidean nearest neighbor algorithm
and compare them with global weighting methods
considering empirical results on a widely accepted time series
classification benchm
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基于欧氏距离求解带状区域二值图的目标区域宽度-Solving Euclidean distance-based binary image of the band region the width of the target area
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kMeansCluster - Simple k means clustering algorithm
Author: Kardi Teknomo, Ph.D.
Purpose: classify the objects in data matrix based on the attributes
Criteria: minimize Euclidean distance between centroids and object points
For mo
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一、 本程序采用16QAM调制方式,对一串2进制信源进行调制,用升余弦滚降函数进行基带调制,再调到高频信道;在信道上加入高斯白噪声,运用匹配滤波器解调,画出解调星座图,运用最小欧氏距离译码判决,计算误比特率。-First, the program uses 16QAM modulation, the source of a string of two binary modulation, with the Raised Cosine modulated baseband functions, a
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