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基于内容的图像检索中的一些关键环节:特征提取:颜色直方图;纹理特征等
相似度:马氏距离,欧氏距离等
相关反馈:机器学习方法,如SVM,神经网络等
检索与分类:两个很相似的样本距离很小,虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of simila
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用于计算马氏距离,并可以用于优选近红外光谱的校正集和预测集-used in the calculation of the Mahalanobis distance, and can be used for optimization of near-infrared spectroscopy calibration set and the prediction
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马氏距离判别(MahalanobisDistanceDiscrimination)的演示过程,求均值向量,协方差矩阵及线形判别函数-Mahalanobis distance criterion (MahalanobisDistanceDiscrimina tion) demonstration process for the mean and covariance matrix and linear discriminant function
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Probability distribution functions.
estimation - (dir) Probability distribution estimation.
dsamp - Generates samples from discrete distribution.
erfc2 - Normal cumulative distribution function.
gmmsamp - Generates sample from Gaussian m
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本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进,利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算,避免了大量的矩阵乘法计算。该算法简单易行,降低了算法的计算复杂度,有利于SLAM算法的实时执行,且关联效果与全局最近邻法相同-In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using t
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用matlab计算马氏距离,简单直接,但是手懒,没中文说明部分(外国例程)-Mahalanobis distance calculation with matlab, simple and direct, but the lazy hand, no Chinese explanation part of the (foreign routines)
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该程序实现改进的自适应相关算法,两个matlab文件,一个为函数,该函数求出信号特征量的马氏距离平方并通过梯度下降法训练出其固定阈值,另一个为主函数,调用该函数文件;该程序将4路信号,每一路信号特征量的马氏距离平方及其固定阈值求出来,并一起画出图来。
-The program features improved adaptive correlation algorithm, two matlab files, one for the function that calculate the
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按照模式相似性测度算法计算待测样品与样品库中的样品相似度,包括模块匹配法、基于PCA的模块匹配法、基于类中心的欧氏距离法和马氏距离法-Similarity measure in accordance with the mode algorithm to calculate the sample similarity in the sample and sample libraries , including the module matching method based on PCA modu
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模式识别作业,贝叶斯分类,欧式距离马氏距离-Pattern recognition operation, the Bayesian classifier, the Euclidean distance, Mahalanobis distance
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交通信号灯的检测是复杂场景下交通灯识别的重点。采用了色彩分割与关联滤波方案进行交通灯的检测。首先,建立交通信号灯的高斯模型,利用高斯向量与多色彩空间结合的方法进行图像分割。然后,采用基于区域增长与相似性判定的关联滤波,对色彩分割后的图像进行处理。最后,使用基于canny算子的边缘提取算法获取方向指示灯轮廓特征,并使用基于改进hu不变矩和马氏距离对方向指示信号灯进行分类。-The detection of traffic lights is the focus of traffic lights
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R程序中的距离判别问题,此程序为马氏距离判别法、贝叶斯判别法的R程序,需要用R软件打开-The distance discriminant R program this program for the Mahalanobis distance discrimination law, the Bayesian discrimination law R program, you need to use the R software open
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Return mahalanobis distance of two data matrices
A and B (row = object, column = feature)
- Return mahalanobis distance of two data matrices
A and B (row = object, column = feature)
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基于图像检索的matlab代码,基于内容的图像检索中的一些关键环节:特征提取:颜色直方图;纹理特征等 相似度:马氏距离,欧氏距离等 相关反馈:机器学习方法,如SVM,神经网络等 检索与分类:两个很相似的样本距离很小,虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of si
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This Code compute the Mahalanobis distance between two gussian distribution.
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马氏距离 。一种有效的计算两个未知样本集的相似度的方法-Mahalanobis distance
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这6个程序可用于0—9的数字识别,算法包括:基于类中心的欧式距离法、马氏距离法、夹角余弦距离法
、二值化的夹角余弦距离法、二值化的Tanimoto测度法和增量校正算法,均为基于matlab软件编写的程序。学会了这几个算法,可以在这些程序的基础上进行扩展,对三维模型识别算法的编程有一定的帮助。-6 program can be used 0-9 digit recognition, algorithms include: class center Euclidean distance, Mah
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对彩色图像进行分层,并且使用欧式距离和马氏距离作为辅助计算,效果很好。-Stratified, the color image and use the Euclidean distance and Mahalanobis distance as an auxiliary, the effect is very good.
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对花卉的数据集分别通过“五折法”、随机产生训练样本、欧式平方距离、绝对值距离、契比雪夫距离和马氏距离进行数据集的识别。-Data sets, respectively, for flowers through the " half of Law" , randomly generated training samples, European squared distance, absolute distance, Chebyshev distance and Mahalanobi
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This paper deals with using of low-cost Global
Navigation Satellite System (GNSS) sensors in a localization
process for an autonomous guidance system of mobile robots.
Generally, this process is made using a Kalman Filter (KF) to
fuse informa
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马氏距离,欧式距离的改进,里面有详细介绍说明(The improvement of Mahalanobis distance and Euclidean distance, which has a detailed introduction.)
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