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Basedonwaveletanalysisandprincipalcomponentanalysi
- 基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由 于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份 验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征， 它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来 越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科 的研究热点。-Based on wavelet analysis and princ
downloadEx
- Download Execute, principal and executable
An_Optimal_Transformation_for_LDA_and_PCA
- 介绍结合LDA与PCA算法的优化分类方法，提出了一般情况下LDA及PCA的计算方法-An Optimal Transformation for Discriminant and Principal Component Analysis
Recognition
- 人脸识别是生物特征识别技术中一个非常活跃的课题,取得了很多研究成果。统计主元分析法( Prin2cipal ComponentsAnalysis, PCA)是人脸特征提取和识别的常用方法之一。-Face recognition is an active subject in the area of biometrical recognition technology, and lots of achievements have been obtained. Principal Compone
ICA
- 辛苦收集的关于独立成分分析的ppt文档，可帮助你快速了解主成分分析的主要内容及发展-Hard to collect on the independent component analysis of ppt documents, can help you quickly understand the principal component analysis and development of the main content
MoAT7.1
- This paper identifies a novel feature space to address the problem of human face recognition from still images. This based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transfo
PCA
- Principal Component Analysis • Uses: – Data Visualization – Data Reduction – Data Classification – Trend Analysis – Factor Analysis – Noise Reduction • Examples: – How many unique “sub-sets” are in the sample? – How ar
OFDM
- OFDM principal paper.basic-OFDM principal
pcainimage
- for components in principal component analysis
PCA
- 提出一种基于主分量分析和相融性度量的快速聚类方法。通过构造主分量空间将高维数据投影到两个主成分上 进行特征提取，每一个主分量都是原始变量的线性组合-Is proposed based on Principal Component Analysis and Measure of blending fast clustering method. Principal component space by constructing a high-dimensional data onto two p
SVMnonlinforASI
- SVM PCA (Principal Component Analysis) algorithm has been widely used in engineering and science research, This report mainly from the PCA and the basic structure of the basic tenets of its research, Conventional PCA algorithm used mainly linear algo
bj01169165.pdf
- Theory and design of interferometric syntheticaperture radars is a good explaination of the principal and basic idea of InSAR-Interferometric synthetic aperture radar (InSAR) is a method which may provide a means of estimating global topography wit
SPSS
- 主成分分析的主要目的是希望用较少的变量去解释原来资料中的大部分变异，将我们手中许多相关性很高的变量转化成彼此相互独立或不相关的变量。通常是选出比原始变量个数少，能解释大部分资料中的变异的几个新变量，即所谓主成分，并用以解释资料的综合性指标。由此可见，主成分分析实际上是一种降维方法。-The main purpose of PCA is to use fewer variables to explain most of the variation of the original data will
UnsupervisedAnomalyDetectionBasedOnPrincipalCompon
- 入侵检测系统在训练过程中需要大量有标识的监督数据进行学习,不利于其应用和推广.为了解决该问题,提出了一种基于主成分分析的无监督异常检测方法,在最小均方误差原则下学习样本的主要特征,经过压缩和还原的互逆过程后能最大限度地复制样本信息,从而根据均方误差的差异检测出异常信息.构建的仿真系统经过实验证明,基于主成分分析的无监督异常检测方法能够在无需专家前期参与的情况下检测出入侵,实验结果验证了其有效性.-Intrusion Detection System in the training process
rez84563
- Articolul urmă reş te î n principal exemplificarea modului de funcţ ionare a sistemului de protecţ ie î n scopul clarificarii analizelor de incident, prin simularea unui defect. Î n analiza acestui defect, mă rimii
How-to-Program-in-CPP
- “MFC的前言”曾经辉煌一时的编程语言工具开发软件商Borland公司在今年4月份更名为Inprise公司，对于广大忠实的Borland追随者来说,这可不是一个好消息。在Dos编程时代Turbo Pascal,Borland C++是最好的开发工具，Borland公司也曾名列美国五大软件公司之列，可到了Windows时代，微软凭借操作系统的优势终于占了统治地位，Borland的大批人员也跳槽加入了微软(Borland Delphi的主设计师成了Microsoft Visual J++的项目负责人
principal_components_tutorial
- A tutorial on Principal Components Analysis
principal-of-adaptive-filter
- 自适应滤波器的原理，很基础，但是讲解的很深刻-Adaptive filter theory, it is based, but to explain the very deep
基于主成分析思想的北京水资源短缺风险综合评价
- 这是北京水资源分析的数学模型，利用了主成分分析法进行分析，并预测未来北京水资源状况-This is the analysis of water resources in Beijing mathematical model, using the principal component analysis to analyze and predict the future state of water resources in Beijing