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libsvm-3.18
- Matlab 下支持向量机经典实现过程，非常适合初学者使用，台湾林智仁代表作-Matlab SVM classic application, very straightforward, simple to understand, it s worth downloading
libsvm-3.20
- 利用svm进行分类器 很方便实用 强大 简介-Use svm classifier 13# highest feature index 3# kernel parameter-d 1# kernel parameter-g 1# kernel parameter-s 1# kernel parameter-r 270# number of training documents 117# number of support vectors plus 1
libsvm---3.18
- libsvm-3.18，程序包，留作备份，是从台湾svm作者林智仁的官方网站下载的。版权为原作者所有-Libsvm-3.18, package, reserved for backup, Download SVM Taiwan author Lin Zhiren s official website. The copyright for the original author
demomodel
- This demo explains the use of the advanced object oriented interface model. The model is the generic object which collects all relevant signals, parameters, options and functions related to an application of the LS-SVM. This interface is depreciated
face
- Matlab PCA+SVM人脸识别,通过PCA和SVM算法达到人脸识别的功能。-Matlab PCA+SVM，To identify people s face.
program
- GA的matlab编程，最小二乘向量机的matlab编程-GA s matlab programming, least squares SVM matlab programming
libsvmtest
- libSVM簡介 這是台大林智仁老師所開發的SVM工具，應該是世界上最好用且最主流的SVM，許多國內外的研究都透過他完成的。其實SVM之所以會成為主流，是因為它的效率較高，而且結果也不錯，甚至有學者認為SVM可以取代類神經網路(林國峰等，2009)。-libSVM Introduction This is NTU prof developed SVM tool, it should be the world' s best and most mainstream use of SVM
fall
- 跌倒检测的MATLAB程序 包括背景差分 去噪并判断跌倒 提取高宽比 重心下降速率 hu不变矩特征 svm分类-fall detection s MATLAB program including background dirrerence remove noise and ratio of height and wide hu invariable moments and svm classifier
tqnnnvzi
- 各种kalman滤波器的设计，pwm整流器的建模仿真，包括最小二乘法、SVM、神经网络、1_k近邻法,D-S证据理论数据融合，虚拟力的无线传感网络覆盖，包括广义互相关函数GCC时延估计。-Various kalman filter design, Modeling and simulation pwm rectifier Including the least squares method, the SVM, neural networks, 1 _k neighbor method, D-S
fxnskiec
- LDPC码的完整的编译码，D-S证据理论数据融合，包括最小二乘法、SVM、神经网络、1_k近邻法,给出接收信号眼图及系统仿真误码率，在MATLAB中求图像纹理特征，滤波求和方式实现宽带波束形成。- Complete codec LDPC code, D-S evidence theory data fusion, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, The rece
qqfwaxtt
- D-S证据理论数据融合，GPS和INS组合导航程序，包括最小二乘法、SVM、神经网络、1_k近邻法,包括广义互相关函数GCC时延估计，实现了对10个数字音的识别，基于matlab GUI界面设计。- D-S evidence theory data fusion, GPS and INS navigation program, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, I
mlclass-ex6
- 支持向量机，实现2或多分类，基于matlab仿真，内有说明-ex6.m- Octave scr ipt for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM p
vhktgmrj
- 给出接收信号眼图及系统仿真误码率，D-S证据理论数据融合，LDPC码的完整的编译码，研究生时的现代信号处理的作业，包括最小二乘法、SVM、神经网络、1_k近邻法。- The received signal is given eye and BER simulation systems, D-S evidence theory data fusion, Complete codec LDPC code, Modern signal processing jobs when the graduate
nmtgjscv
- 利用matlab GUI实现的串口编程例子，包括调制，解调，信噪比计算，包括最小二乘法、SVM、神经网络、1_k近邻法,能量熵的计算，D-S证据理论数据融合。- Use serial programming examples matlab GUI implementation, Includes the modulation, demodulation, signal to noise ratio calculation, Including the least squares method,
yiqkguqc
- 课程设计时编写的matlab程序代码，包括最小二乘法、SVM、神经网络、1_k近邻法,对于初学matlab的同学会有帮助，有CDF三角函数曲线/三维曲线图，采用热核构造权重，构成不同频率的调制信号，采用波束成形技术的BER计算，D-S证据理论数据融合。- Course designed to prepare the matlab program code, Including the least squares method, the SVM, neural networks, 1 _k nei
ipngnbby
- matlab程序运行时导入数据文件作为输入参数，一种噪声辅助数据分析方法,合成孔径雷达（SAR)目标成像仿真，包括最小二乘法、SVM、神经网络、1_k近邻法,主要为数据分析和统计，D-S证据理论数据融合，搭建OFDM通信系统的框架。- Import data files as input parameters matlab program is running, A noise auxiliary data analysis method, Synthetic Aperture Radar (S
gkc
- 包括最小二乘法、SVM、神经网络、1_k近邻法,包括调制，解调，信噪比计算，最小均方误差（MMSE）的算法，一种流形学习算法（很好用），D-S证据理论数据融合，单径或多径瑞利衰落信道仿真，利用贝叶斯原理估计混合logit模型的参数。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Includes the modulation, demodulation, signal to
nnv
- 包括回归分析和概率统计，FIR 底通和带通滤波器和IIR 底通和带通滤波器，包括最小二乘法、SVM、神经网络、1_k近邻法,D-S证据理论数据融合，保证准确无误，是学习通信的好帮手，关于神经网络控制，FMCW调频连续波雷达的测距测角。- Including regression analysis and probability and statistics, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pas
FaceRecognition-master
- Face recognition written in MATLAB. This code implements Fisher s Discriminant Analysis and SVMs using LIBSVM.-The motivation of this project is to implement several techniques for face recognition: Principal Component Analysis Fisher’s Linear
covartech-PRT-2a07a56
- The Pattern Recognition Toolbox (PRT) for MATLAB (tm) is a framework of pattern recognition and machine learning tools that are powerful, expressive, and easy to use. Create a data set your data (X ~ N x F) and labels (Y ~ N x 1): ds = prtDataS