搜索资源列表
mahalanobis
- 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.
mahalanobis
- 计算mahalanobis(即马氏)距离
shibie.rar
- 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 program
CalcVecDistance
- vc+opencv计算欧氏距离和马氏距离-vc+ opencv calculating Euclidean distance and Mahalanobis distance
Image
- 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
patternClass
- 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 discriminan
ActivityRecognition
- 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.
oula
- 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
gmmbayestb-v0.1.tar
- 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
mahaladist
- Mahalanobis Distance Function for Matlab.
featdetectionmahalanobis
- feature detection with mahalanobis distance
MahSom_v1
- 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 - Springe
cseg
- image color segmentation using Euclidean and Mahalanobis methods
000
- 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 dis
ijcsis_pape
- Facial Expression Recognition using Mahalanobis distance and correlation
67506282mahalanobis
- 马氏距离的仿射不变性删除误匹配特征点 对,据此可求取2幅源图像间的仿射变换参数-Mahalanobis distance of the affine invariant features remove the false matching points Yes, according to the source to obtain two parameter affine transformation between images
sqdistance
- Fully vectorized function to compute square Euclidean or Mahalanobis distances between vectors.
Mahalanobis_PCA
- 在提取特征,进行特征投影之后,通常要用Mahalanobis来比较二者是不是图像,这里以PCA为例。-In feature extraction, the feature projection, the usual Mahalanobis use to compare the two is not the image, here for example PCA.
mahalanobis-distance
- 利用matlab针对图像进行马氏距离计算-use matlab soft to compute the mahalanobis distance of the image
Mahalanobis
- it s Mahalanobis distance in pattern recognition matlab code