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Description: 一种新的计算马氏距离的算法，算法采用二次协方差矩阵操作，进而使距离考加入相对性因素。-a new Mahalanobis distance calculation algorithm, the algorithm using quadratic covariance matrix operations, thereby enabling the relative distance to take factors.
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Size: 1380 |
Author: bodiz2002 |
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Description: 计算mahalanobis（即马氏）距离
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Size: 1384 |
Author: 胡易 |
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Description: 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 similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance
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Size: 159744 |
Author: 耿上 |
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Description: 一种新的计算马氏距离的算法，算法采用二次协方差矩阵操作，进而使距离考加入相对性因素。-a new Mahalanobis distance calculation algorithm, the algorithm using quadratic covariance matrix operations, thereby enabling the relative distance to take factors.
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Size: 1024 |
Author: bodiz2002 |
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Description: 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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Size: 1024 |
Author: xunny |
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Description: 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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Size: 3072 |
Author: 陈伟 |
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Description: Probability distribution functions.
estimation - (dir) Probability distribution estimation.
dsamp - Generates samples from discrete distribution.
erfc2 - Normal cumulative distribution function.
gmmsamp - Generates sample from Gaussian mixture model.
gsamp - Generates sample from Gaussian distribution.
cmeans - C-means (or K-means) clustering algorithm.
mahalan - Computes Mahalanobis distance.
pdfgauss - Computes probability for Gaussian distribution.
pdfgmm - Computes probability for Gaussian mixture model.
sigmoid - Evaluates sigmoid function.-Probability distribution functions.
estimation- (dir) Probability distribution estimation.
dsamp- Generates samples from discrete distribution.
erfc2- Normal cumulative distribution function.
gmmsamp- Generates sample from Gaussian mixture model.
gsamp- Generates sample from Gaussian distribution.
cmeans- C-means (or K-means) clustering algorithm.
mahalan- Computes Mahalanobis distance.
pdfgauss- Computes probability for Gaussian distribution.
pdfgmm- Computes probability for Gaussian mixture model.
sigmoid- Evaluates sigmoid function.
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Size: 21504 |
Author: 林枫 |
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Description: 计算mahalanobis（即马氏）距离-Calculated mahalanobis (ie Markov) distance
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Size: 1024 |
Author: 胡易 |
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Description: 產生k個d維的常態分布樣本，產生某個事前機率為P(wi)的常態分布的discriminant
function，計算任兩點間的Euclidean distance及Mahalanobis distance
-Generated k-d-dimensional normal distribution of samples to generate a prior probability P (wi) of the normal distribution of the discriminant function, calculated between any two points in Euclidean distance and Mahalanobis distance
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Size: 38912 |
Author: amy |
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Description: 用matlab实现的几种模式识别的方法，有切比雪夫距离法，马氏距离法，欧氏距离法。而且每种方法都给出了多种编程-Matlab achieved using several methods of pattern recognition, there are Chebyshev distance, Mahalanobis distance method, Euclidean distance method. But each method are given a variety of programming
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Size: 82944 |
Author: mr yao |
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Description: Activity recognition program using Motion History Image s 7 Hu moments. The program compare the Mahalanobis distance of the Hu moments of the video input with the reference and find out the activities.
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Size: 246784 |
Author: Illidanstorm |
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Description: 遥感图像的打开处理程序，能够打开单波段，多波段图像，几何图像变换，线性拉伸变换，平滑
处理包括并行和串行，锐化处理包括梯度锐化、Roberts锐化、laplace锐化、sobel锐化等，还
有用绝对距离和马氏距离算法进行的监督分类算法等，包括了RAW格式数据资源-The opening of remote sensing image processing, to open the single-band, multi-band images, geometric image transformations, linear stretching transformation, smoothing, including parallel and serial processing, including gradient sharpening sharpening, Roberts sharpening, laplace sharpening, sobel sharpening, as well as with the absolute distance and Mahalanobis distance algorithm of the supervised classification algorithms, including the RAW format of data resources
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Size: 10661888 |
Author: 幻影 |
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Description: 基于欧拉-熵向量的图像检索,相似度可用马氏距离-Based on Euler- entropy vector image retrieval, similarity can be used Mahalanobis distance
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Size: 4096 |
Author: andy |
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Description: This package contains Matlab m-files for learning finite Gaussian mixtures from sample data and performing data classification with Mahalanobis distance or Bayesian classifiers. Each class in training set is learned individually with one of the three variations of the Expectation Maximization algorithm: the basic EM algorithm with covariance fixing, the Figueiredo-Jain clustering algorithm and the greedy EM algorithm.
The basic EM and FJ algorithms can handle complex valued data directly, the greedy EM algorithm cannot.
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Size: 20480 |
Author: 李 |
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Description: Mahalanobis Distance Function for Matlab.
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Size: 1024 |
Author: Igor |
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Description: feature detection with mahalanobis distance
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Size: 3072 |
Author: ligia |
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Description: This code is the implementation of Mahalnobis SOM algorithm published in this article.
Face recognition under varying illumination using Mahalanobis self-organizing map
S Aly, N Tsuruta, RI Taniguchi - Artificial Life and Robotics, 2008 - Springer-This code is the implementation of Mahalnobis SOM algorithm published in this article.
Face recognition under varying illumination using Mahalanobis self-organizing map
S Aly, N Tsuruta, RI Taniguchi- Artificial Life and Robotics, 2008- Springer
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Size: 1024 |
Author: Aly |
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Description: image color segmentation using Euclidean and Mahalanobis methods
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Size: 1024 |
Author: kryptik |
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Description: Mahalanobis距離是一個可以準確找出資料分布上面極端值(Outliers)的統計方法,使用線性迴歸的概念,也就是說他使用的是共變數矩陣以及該資料分布的平均數來找尋極端值的產生,而可以讓一群資料系統具有穩健性(Robust),去除不必要的雜訊訊息,這邊拿前面共變數矩陣的資料為例,並且新增了兩個點座標向量來做Mahalanobis距離的比較-Mahalanobis distance is the information that can accurately identify the distribution of the above extreme values (Outliers) statistical methods, the concept of using a linear regression, meaning that he used the covariance matrix and the distribution of the information to find the extreme values of the average production of , but can allow a group of information systems with the robustness (Robust), removing unnecessary noise message here get in front of the data covariance matrix, for example, and added two points, coordinates of vectors to do comparison of Mahalanobis distance
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Size: 1024 |
Author: nip |
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Description: vc+opencv计算欧氏距离和马氏距离-vc+ opencv calculating Euclidean distance and Mahalanobis distance
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Size: 218112 |
Author: 刘镇 |
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