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jiyuneirongdetuxiangjiansuo
- 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; Tex
Mahalanob
- 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
MahalanobisDistanceDiscrimination
- 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 funct
misc
- Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Ge
GSNNSimulation
- 本文针对SLAM算法中数据关联过程,提出了一种简单易行的改进方法,将欧氏距离与马氏距离结合用于数据关联。算法不必计算地图所有特征与所有量测之间的马氏距离,而是首先利用相对简单的欧氏距离计算缩小了待关联特征的搜寻范围。利用人工合成数据的仿真结果表明,改进后的数据关联方法可以大幅减少系统计算量,提高关联效率,且不会造成错误关联的增加。-This article SLAM algorithm for data association proc
IDASimulation
- 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
ClusterAlgorithm
- 模式识别的聚类算法 包括欧氏(Euclidean)距离,绝对值距离,切式距离,明氏距离,马氏距离-Clustering algorithm of pattern recognition, including Euclidean (Euclidean) distance, absolute distance, the distance-cut, Ming' s distance, Mahalanobis distance
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 ima
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.
A-NOVEL-SKIN-YCBCR-COLOR-SPACE
- This paper presents a new human skin color model in YCbCr color space and its application to human face detection. Skin colors are modeled by a set of three Gaussian clusters, each of which is characterized by a
distance
- 距离公式计算,欧氏举例,马氏距离,巴氏距离-Distance formula, the EU' s example, Mahalanobis distance, the distance Pap
marshi
- 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)
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
Mahalanobis
- 马氏距离是一种有效地计算两个样本集之间相似度的算法(数据之间协方差距离),与欧式距离相比,它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据,设计一个最小马氏距离分类器并对测试点进行分类,然后将其与最小欧式距离分类器进行比较,实验得出当协方差矩阵为单位阵时,最小马氏距离分类器将与最小欧式距离分类器等价。-Markov distance is an effective method to compute the similarity
Mahalanobis
- 马氏距离判别分析,数学建模竞赛必备,有疑问可提出(Mahalanobis distance discrimination)
Mahalanobis distance
- Mahalanobis distance,u can use this to detect outlie
mahalanobis
- 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.)