Mahalanobis相关论文
The distance-based regression model has many applications in analysis of multivariate response regression in various ?el......
为了提高货物或人体放射性筛查的可靠性,提出了一种基于主成分分析和Mahalanobis距离的异常γ能谱识别方法。该方法首先对大量不含......
在传统的i-vector模型中,余弦相似度分类器由于其计算简单和良好的性能被广泛应用。本文根据距离度量学习思想,提出一种新的基于Ma......
粗糙集(RoughSet)理论是20世纪发展起来的一种新的处理含糊性和不确定性问题的数学工具，求取高效、快捷的属性约简算法是当前该理论......
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Fault Diagnosis of Rolling Element Bearing Using Multi-Scale Lempel-Ziv Complexity and Mahalanobis D
A new fault diagnosis technique for rolling element bearing using multi-scale Lempel-Ziv complexity (LZC) and Mahalanobi......
本文通过对荣华二采区10...
As climate change negotiations progress, monitoring biomass and carbon stocks is becoming an im-portant part of the curr......
Probabilistic outlier detection for sparse multivariate geotechnical site investigation data using B
Various uncertainties arising during acquisition process of geoscience data may result in anomalous data instances(i.e.,......
距离度量对K近邻（KNN）算法分类精度起着重要的作用。传统KNN算法通常采用欧氏距离,但该距离将所有特征的差别平等对待,忽略了数据的......
常用分类算法对人脸图像在不同光照条件下的识别效果较不理想。设计了一种新颖的基于马氏距离(Mahalanobis Distance)的人脸识别分......
【正】普拉森塔·钦德拉·马哈拉诺比斯(Prasenta Chandra Mahalanobis)的一生对统计理论和统计工作,特别是抽样调查的理......
提供了还原单离子通道信号的一些阈值方法.基于混合正态分布,考虑到判别错误,给出了几种阈值,判断通道开关状态.......
斜拉桥主梁是其运营中最为主要的受力构件,主梁的损伤识别方法研究一直是热点问题.针对结构健康监测数据,提出了一种基于马氏距离......
准确的风电功率实时预测，对电力系统安全、经济高效运行有着重要作用。基于相空间重构理论，提出了一种局域一阶加权法，以马式距离作为......
为了综合评价通用伪装器材与背景的适应性，建立了基于马氏距离的判别模型，可实现伪装器材性能的综合评估，本模型具有准确率高、可操作......
针对水电机组状态监测传感器读数的精确性以及其数据波动影响机组故障诊断准确性和复杂性的问题,提出基于马氏距离-数据融合的方法......
Distance metric learning plays an important role in many machine learning tasks. In this paper, we propose a method for ......
A simple and fast approach based on eigenvalue similarity metric for Polarimetric SAR image segmentation of Land Cover i......
给出一种具有鲁棒性的彩色图像聚类分割快速算法,以改善基于马氏距离聚类分割算法(MFCM)的实时性和抗噪性。利用彩色图像红、绿、......
Efficient Techniques and Algorithms for Improving Indoor Localization Precision on WLAN Networks App
This paper proposes efficient techniques that allow the deploying of high precision location applications for indoor sce......
In light of rapid development of customer requirements, control procedures of quality concept use multivariate analysis.......
静默/清音/浊音的判别问题是语音信号处理中的一个重要研究领域,本文应用了三种模式识别的方法:Mahalanobis距离法、支持向量机和......
这篇论文为遥远地察觉到的数据，结果的分类的模糊的度被作为由一个常规算法与那作比较减少聚类的 fuzzyc 工具描述一个改进算法：也就......
As climate change negotiations progress,monitoring biomass and carbon stocks is becoming an important part of the curren......
K-means clustering algorithm is an important algorithm in unsupervised learning and plays an important role in big data ......
The aim of this study is to fuse high resolution optical and microwave images and classify urban land cover types using ......
Classical Mahalanobis distance is used as a method of detecting outliers, and is affected by outliers. Some robust Mahal......
Development of a Qualitative near Infrared Screening Method for Quality Consistency Assessment of Vi
Near infrared spectroscopy offers advantages in the analysis of vegetable oils such as rapidity, relative cost-effective......
In this short review paper, the significant and profound impacts of the Chou’s “invariance theorem” have been briefly......
