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支持向量机(SVM)、线形鉴别分析(LDA)、主主分量分析(PCA)与人工神经元网络(ANN)源代码
-Source code for the support vector machine (SVM), linear discriminant analysis (LDA), principal component analysis (PCA) and artificial neural network (ANN)
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LDA(线性判别分析)程序,给大家参考一下啊-LDA (linear discriminant analysis) program, for your reference.
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实用可能的主成分分析(PCA)与线线性判别分析(LDA),训练与检测,
-The utility may be the principal component analysis (PCA) and the line of linear discriminant analysis (LDA), training and testing,
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Matlab实现Fisher线性分类器和Perceptron线性分类器,包含2D图形生成,实验数据采用井字棋数据-Fisher and Perceptron Linear Discriminant Analysis Matlab implementation using Tic-tac-toe data
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Matlab写的fisher 分类器,很简单适合初学者,体验机器学习的过程-Fisher Linear Discriminant Analysis in Matlab。It fit the people who learning the Machine Learning at first time.
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模式识别的fisher线性判别分析lda方法-Pattern Recognition fisher linear discriminant analysis lda method
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线性判别分析LDA人脸识别代码,识别率计算-Linear discriminant analysis LDA face recognition code recognition rate
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fisher linear discriminant analysis
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Matlab针对各种数据预处理的降维方法,源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques:
Principal Component Analysis (PCA)
Probabilistic PCA
Factor Analysis (FA)
Sammon mapping
Lin
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里面包含了步态识别的整一套流程的代码实现,包括从视频流里面提取图片帧,背景建模,提取运动目标(运动检测),形态学处理(膨胀与腐蚀,连通性检测),归一化大小,步态能量图的构建,主成分分析(PCA)降维,线性判别分析(LDA)分类等等功能的代码实现。均通过测试。-Contains the gait recognition of the whole process of a set of code, including the extraction and picture frames from th
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线性判别分析的人脸识别系统代码matlab程序,直接运行gui界面文件就可以了-Linear discriminant analysis for face recognition system code matlab procedures, directly run gui interface files can be
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利用线性判别分析做USPS数据库的分类。代码可直接运行, 有详细注释。-Done using linear discriminant analysis classification USPS database. Code can be directly run, detailed notes.
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利用线性判别分析实现对iris数据库的分类。代码可直接运行, 有详细注释。-Using linear discriminant analysis to achieve the classification of iris database. Code can be directly run, detailed notes.
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LRC是线性表示分类,主要是对图像分类的线性判别分析。-LRC is a linear representation classification, mainly for image classification linear discriminant analysis.
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Fisher线性判别是线性分类算法中最基本的一种算法,其基本思想是将d维空间中的样本投影到一条最易于分类的投影线上,再进行分类-Linear discriminant analysis is one of the most basic algorithm for linear classification algorithm, the basic idea is to divide the sample projection D dimensional space into one of the
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Function to implement Linear Discriminant Analysis
Usage:-
[Xnew,V,mX,D] = lda(X,index,mX)
[V,D] = lda(X,index)
where:-
X = concatenated grand profile vectors (GPV)
i = class index of each vector
Xnew = new feature v
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It is a brief introduction of LINEAR DISCRIMINANT ANALYSIS.
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了适应跟踪过程中目标光照条件的变化,并对目标特征进行在线更新,提出一种将局部二元模式(LBP)
特征与图像灰度信息相融合,同时结合增量线性判别分析对目标进行跟踪的算法.跟踪开始前,为了获得比较准确的目标描述,使用混合高斯模型和期望最大化算法对目标进行分割;跟踪过程中,通过蒙特卡罗方法对目标区域和背景区域进行采样,并更新特征空间参数.得到目标和背景的最优分类面;最后使用粒子滤波器结合最优分类面对目标状态进行预测.通过光照变化的仿真视频和自然场景视频的跟踪实验,验证了文中算法的有效性.-Trac
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LDA:线性判别分析方法。用于实现线性数据降维。采用K近邻分类器对数据进行分类-LDA: linear discriminant analysis method. Used to achieve linear data dimensionality reduction. Using K-nearest neighbor classifier for data classification
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LMDA:一种改进的线性判别方法。用于实现线性数据的降维,进行特征提取。-LMDA: An improved linear discriminant analysis. Used to achieve linear data dimensionality reduction, feature extraction.
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