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Description: 使用Fisher线性鉴别分析（FLDA）方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人，每人10幅共400幅BMP图像。-The use of Fisher linear discriminant analysis (FLDA) at Ways on ORL face database for face recognition test. Standard ORL face database contains a total of 40 people, 10 per person a total of 400 BMP images.
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Size: 4096 |
Author: liz |
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Description: Fisher Linear Discrimination Analysis源码，程序带selfdemo演示-flda code
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Size: 1024 |
Author: yuxin |
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Description: 函数数据工具箱，包括FPCA,回归，微分方程拟合-Function of data toolbox, including the FPCA, regression，differential equations fitting
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Size: 15360 |
Author: david |
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Description: 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。但是将LDA直接用于人脸识别
会遇到维数问题和“小样本”问题。人们经过研究，通过多种途径解决了这两个问题并实现了基于I,DA的人脸识
别 文章对几种基于LDA的人脸识别方法做了理论上的比较和实验数据的支持，这些方法包括Eigenfaces、Fish—
erfaceS、DLDA、VDLDA及VDFLDA。实验结果表明VDFLDA是其中最好的一种方法。-Low—dimensional feature representation with enhanced discriminatory power is of paramount importance to face
recognition(FR)system．Linear Discriminant Analysis(LDA)is one of the most popular linear classification techniques of
feature extraction。but it will meet two problems as computational challenging and “small sample size’’when applying to
face recognition directly．After studying people solve the two problems through several ways and realize the face recogni—
tion based on LDA． The short paper here makes compare on theory and experimental data analysis on several Face
Recognition system using LDA—Based Algorithm，such as Eigenfaces(using PCA)，Fisherfaces，DLDA，VDLDA and VD—
FLDA．The experimental results show that the VDFLDA method is the best of al1．
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Size: 222208 |
Author: 费富里 |
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Description: 用于特征降维，特征融合，相关分析等多元数据分析的fisher鉴别分析（FLDA）Matlab代码实现。-For feature reduction, feature fusion, correlation analysis, multivariate data analysis of the fisher discriminant analysis (FLDA) Matlab code implementation.
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Size: 1024 |
Author: moxibingdao |
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Description: 这个呢是用来做人脸识别的，非常简练，而且注释清晰。-FACE RECONGNITION
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Size: 180224 |
Author: 周样 |
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Description: Fisher线性鉴别分析方法(FLDA)-Fisher linear discriminant analysis (FLDA)
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Size: 1024 |
Author: 万鹏程 |
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Description: fisher线性鉴别分析的人脸识别，在ORL库上实验，可在其他库上运行-fisher linear discriminant analysis for face recognition, in the ORL database on the test can be run on other database
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Size: 1024 |
Author: 王善民 |
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Description: 利用FLDA结合多核磁参数来检测前列腺癌-Detection of Prostate Cancer using Multi-parametric Magnetic Resonance
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Size: 2356224 |
Author: zjx |
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Description: 基于Fisher线性判别分析的人脸识别代码。内涵ORL人脸库。-Code for face recognition based Fisher LDA,and a face data called ORL is included.
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Size: 3407872 |
Author: 赖昀 |
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Description: Fisher Linear Discrimination Analysis源码，程序带selfdemo演示-flda code
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Size: 1024 |
Author: evenmo |
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Description: 用于分类的主判别变量算法(principal discriminant variate algorithm) - principal discriminant variate algorithm for two classes, x1 and x2.
x1 is the training samples in the 1st class with each column being the spectrum characterizing the corresponding sample.
x2 is the training samples in the 2nd class with each column being the spectrum characterizing the corresponding sample.
lamda is the penalty weight defining the balance between FLDA and PCA.
dvnum is the number of principal discriminant variates to be computed. A defaul value for dvnum is 2.
dv is the principal discriminant variates.
scores is the matrix with each row being the scores of the samples on the corresponding principal discriminant variate.
xmean is the mean spectra of the sample, which was used for mean-centering the data in training and prediction.
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Size: 1024 |
Author: zhu rg |
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Description: code for FLDA, parzon window with report
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Size: 428032 |
Author: shikha gupta |
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Description: 使用flda进行图像识别与分类，非常简练，而且注释清晰-Use flda image recognition and classification, very concise and clear comments
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Size: 753664 |
Author: billgx |
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Description: 关于速算24的小程序,工程都在压缩包里面,()
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Size: 138240 |
Author: sxk%21426
|
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Description: 本算法针对运动想象的脑电数据，进行预处理并后续用分类器做分类。
该实验所用的的脑电特征提取方法主要是csp空间滤波，并后续用FLDA来进行特征分类。最终得到较好的效果(In this algorithm, the EEG data of motion imagination are preprocessed and then classified by classifier.
The main feature extraction method of EEG in this experiment is CSP spatial filtering, and FLDA is used for feature classification. Finally, good results are obtained)
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Size: 2312192 |
Author: chewfy |
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