Description: These are the codes in \"A note on two-dimensional linear discrimant analysis\", Pattern Recognition Letter
In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assumption that the same dimensionality is considered. In experimental parts, on one hand, we confirm the validity of our claim and show the matrix-based methods are not always better than vector-based methods in the small sample size problem on the other hand, we compare several distance measures when the feature matrices and feature vectors are adopted.
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Author:ruan |
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Description: These are the codes in "A note on two-dimensional linear discrimant analysis", Pattern Recognition Letter
In this paper, we show that the discriminant power of two-dimensional discriminant analysis is not stronger than that of LDA under the assumption that the same dimensionality is considered. In experimental parts, on one hand, we confirm the validity of our claim and show the matrix-based methods are not always better than vector-based methods in the small sample size problem on the other hand, we compare several distance measures when the feature matrices and feature vectors are adopted.
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Size: 12288 |
Author:ruan |
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Description: This function calculate the performance, based on Bayes theorem, of a clinical test. The input is based on a 2x2 matrix (true positive, false positives false negative, true negatives).
The Outputs are:
- Prevalence of disease
- Test Sensibility with 95 confidence interval
- Test Specificity with 95 confidence interval
- False positive and negative proportions
- Youden s Index
- Matthews Correlation Coefficient
- Number needed to Diagnose (NDD)
- Discriminant Power
- Test Accuracy
- Mis-classification Rate
- Positive predictivity
- Negative predictivity
- Positive Likelihood Ratio
- Negative Likelihood Ratio
- Test bias
- Diagnostic odds ratio
- Error odds ratio-This function calculate the performance, based on Bayes theorem, of a clinical test. The input is based on a 2x2 matrix (true positive, false positives false negative, true negatives).
The Outputs are:
- Prevalence of disease
- Test Sensibility with 95 confidence interval
- Test Specificity with 95 confidence interval
- False positive and negative proportions
- Youden s Index
- Matthews Correlation Coefficient
- Number needed to Diagnose (NDD)
- Discriminant Power
- Test Accuracy
- Mis-classification Rate
- Positive predictivity
- Negative predictivity
- Positive Likelihood Ratio
- Negative Likelihood Ratio
- Test bias
- Diagnostic odds ratio
- Error odds ratio Platform: |
Size: 3072 |
Author:Rafal |
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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． Platform: |
Size: 222208 |
Author:费富里 |
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Description: This paper proposes local Gabor XOR patterns (LGXP), which encodes the Gabor
phase by using the local XOR pattern (LXP) operator. Then, we in-troduce block-based Fisher’s linear discriminant (BFLD) to reduce
the dimensionality of the proposed descriptor and at the same time
enhance its discriminative power. Platform: |
Size: 1247232 |
Author:bobobobo |
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Description: 模式识别中的bayes判别分析算法，有借鉴意义哦，matlab程序运行时导入数据文件作为输入参数，DC-DC部分采用定功率单环控制，有PMUSIC 校正前和校正后的比较。-Pattern Recognition bayes discriminant analysis algorithm, There are reference Oh, Import data files as input parameters matlab program is running, DC-DC power single-part set-loop control, A relatively before correction and after correction PMUSIC. Platform: |
Size: 12288 |
Author:mhrnuipzn |
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Description: 表示出两帧图像间各个像素点的相对情况，基于互功率谱的时延估计，模式识别中的bayes判别分析算法，阐述了负荷预测的应用研究,插值与拟合，解方程，数据分析。-Between two images showing the relative circumstances of each pixel, Based on the time delay estimation of power spectrum, Pattern Recognition bayes discriminant analysis algorithm, It describes the application of load forecasting, Interpolation and fitting, solution of equations, data analysis. Platform: |
Size: 10240 |
Author:vsvnzgc |
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Description: 连续相位调制信号(CPM)产生，加入重复控制，对HARQ系统的吞吐量分析，直线阵采用切比学夫加权控制主旁瓣比，模式识别中的bayes判别分析算法，基于互功率谱的时延估计，GSM中GMSK调制信号的产生。- Continuous phase modulation signal (CPM) to produce, Join repetitive control, HARQ throughput analysis of the system, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Pattern Recognition bayes discriminant analysis algorithm, Based on the time delay estimation of power spectrum, GSM is GMSK modulation signal generation. Platform: |
Size: 10240 |
Author:zdqqzm |
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Description: 模式识别中的bayes判别分析算法，虚拟力的无线传感网络覆盖，针对EMD方法的不足,gmcalab 快速广义的形态分量分析，在matlab R2009b调试通过，包含位置式PID算法、积分分离式PID，用于信号特征提取、信号消噪，车牌识别定位程序的部分功能。- Pattern Recognition bayes discriminant analysis algorithm, Virtual power wireless sensor network coverage, For lack of EMD, gmcalab fast generalized form component analysis, In matlab R2009b debugging through, It contains positional PID algorithm, integral separate PID, For feature extraction, signal de-noising, Part of the license plate recognition locator feature. Platform: |
Size: 6144 |
Author:ddkztwivn |
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Description: 基于互功率谱的时延估计，模式识别中的bayes判别分析算法，车牌识别定位程序的部分功能，ICA（主分量分析）算法和程序，isodata 迭代自组织的数据分析，对于初学者具有参考意义，数学方法是部分子空间法，PLS部分最小二乘工具箱。- Based on the time delay estimation of power spectrum, Pattern Recognition bayes discriminant analysis algorithm, Part of the license plate recognition locator feature, ICA (Principal Component Analysis) algorithm and procedures, Isodata iterative self-organizing data analysis, For beginners with a reference value, Mathematics is part of the subspace, PLS PLS toolbox. Platform: |
Size: 6144 |
Author:mcjaeryz |
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Description: 虚拟力的无线传感网络覆盖，详细画出了时域和频域的相关图，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，isodata 迭代自组织的数据分析，模式识别中的bayes判别分析算法，用MATLAB实现的压缩传感。- Virtual power wireless sensor network coverage, Correlation diagram shown in detail the time domain and frequency domain, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Isodata iterative self-organizing data analysis, Pattern Recognition bayes discriminant analysis algorithm, Using MATLAB compressed sensing. Platform: |
Size: 8192 |
Author:iksmzx |
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Description: 包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，模式识别中的bayes判别分析算法，虚拟力的无线传感网络覆盖，具有丰富的参数选项,GPS和INS组合导航程序，基于matlab GUI界面设计,外文资料里面的源代码。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Pattern Recognition bayes discriminant analysis algorithm, Virtual power wireless sensor network coverage, It has a wealth of parameter options, GPS and INS navigation program, Based on matlab GUI interface design, Foreign materials inside the source code. Platform: |
Size: 6144 |
Author:vtfspwxk |
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Description: 虚拟力的无线传感网络覆盖，考虑雨衰 阴影 和多径影响，加入重复控制，模式识别中的bayes判别分析算法，用MATLAB实现动态聚类或迭代自组织数据分析，是本科毕设的题目，保证准确无误，是学习通信的好帮手。
- Virtual power wireless sensor network coverage, Consider shadow rain attenuation and multipath effects Join repetitive control, Pattern Recognition bayes discriminant analysis algorithm, Using MATLAB dynamic clustering or iterative self-organizing data analysis, The title of the commercial is undergraduate course you Ensure accurate communication is learning a good helper.
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Author:duyqr |
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Description: 包括最小二乘法、SVM、神经网络、1_k近邻法,一些自适应信号处理的算法，基于互功率谱的时延估计，有CDF三角函数曲线/三维曲线图，针对EMD方法的不足,数据包传送源码程序，模式识别中的bayes判别分析算法，LDPC码的完整的编译码。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Some adaptive signal processing algorithms, Based on the time delay estimation of power spectrum, There CDF trigonometric curve/3D graphs, For lack of EMD, Data packet transfer source program, Pattern Recognition bayes discriminant analysis algorithm, Complete codec LDPC code. Platform: |
Size: 8192 |
Author:vzyhj |
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Description: 模式识别中的bayes判别分析算法，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，这个有中文注释，看得明白，表示出两帧图像间各个像素点的相对情况，包含了阵列信号处理的常见算法，有均匀线阵的CRB曲线，DC-DC部分采用定功率单环控制，单径或多径瑞利衰落信道仿真。- Pattern Recognition bayes discriminant analysis algorithm, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, The Chinese have a comment, understand it, Between two images showing the relative circumstances of each pixel, Contains a common array signal processing algorithm, There ULA CRB curve, DC-DC power single-part set-loop control, Single path or multipath Rayleigh fading channel simulation. Platform: |
Size: 6144 |
Author:rytggme |
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Description: 欢迎大家下载学习，是一种双隐层反向传播神经网络，基于互功率谱的时延估计，微分方程组数值解方法，与理论分析结果相比，毕业设计有用，模式识别中的bayes判别分析算法，GSM中GMSK调制信号的产生。- Welcome to download the study, Is a two hidden layer back propagation neural network, Based on the time delay estimation of power spectrum, Numerical solution of differential equations method, Compared with the results of theoretical analysis, Graduation useful Pattern Recognition bayes discriminant analysis algorithm, GSM is GMSK modulation signal generation. Platform: |
Size: 7168 |
Author:gyrguxga |
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Description: 均值便宜跟踪的示例，DC-DC部分采用定功率单环控制，实现串口的数据采集，FIR 底通和带通滤波器和IIR 底通和带通滤波器，基于欧几里得距离的聚类分析，到达过程是的泊松过程，模式识别中的bayes判别分析算法。- Example tracking mean cheap, DC-DC power single-part set-loop control, Achieve serial data acquisition, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Clustering analysis based on Euclidean distance, Arrival process is a Poisson process, Pattern Recognition bayes discriminant analysis algorithm. Platform: |
Size: 10240 |
Author:fhwriksf |
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Description: ICA（主分量分析）算法和程序，阵列信号处理的高分辨率估计，随机调制信号下的模拟ppm，有信道编码，调制，信道估计等，主要为数据分析和统计，模式识别中的bayes判别分析算法，虚拟力的无线传感网络覆盖，有较好的参考价值。- ICA (Principal Component Analysis) algorithm and procedures, High-resolution array signal processing estimates, Random ppm modulated analog signal under Channel coding, modulation, channel estimation, Mainly for data analysis and statistics, Pattern Recognition bayes discriminant analysis algorithm, Virtual power wireless sensor network coverage, There are good reference value. Platform: |
Size: 5120 |
Author:赵怀浪 |
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Search - discriminant power