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byssfenb
- 邮件过滤系统的实现 关于贝叶斯算法的 是用C++实现的-mail filter system on the Bayesian algorithm to achieve the realization of the C
Surfovisor
- Surfovisor features: * client-server architecture - makes it possible to filter whole network as well as only single computer * many filters - IP:port black-list, URL black-list, URL white-list, bad word filter, bayesian filtering, file extensi
filter
- 垃圾邮件过滤器，本软件基于朴素贝叶斯算法，用NetBean生成的界面（须JDK1.6），适用于对手机短信，邮箱邮件，日记等一些txt文件进行分类，测试率达90％以上。-Spam filters, the software based on the Naive Bayes algorithm, using NetBeans generated interface (requires JDK1.6), apply to SMS, mail messages, diaries and other do
code_bayesian
- bayesian matlab Filter
Bayes
- 非线性跟踪中贝叶斯滤波算法，在无线传感器中的应用-Bayesian non-linear tracking filter algorithm, in the wireless sensor
kalmanfilter
- 一个非常好用的国外牛人写的kalman滤波程序，-kfdemo.m is a Matlab scr ipt file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab).The other files are called by kf.m (the Kal
mat2octandback.tar
- the program based on particle filter for a new algorithm, Integrated Bayesian MCMC Model Selection MONTE CARLO that Ma Erkefu chain
nonlocalfilter
- Non Local Bayesian Filter for Speckle reduction
track
- 该程序是我多年的经验总结以及代码，实现了全景目标跟踪、火焰识别、烟雾识别、起立坐下行为判断、越界闯入、徘徊、违规停车等多种智能功能一体化，粒子滤波、贝叶斯分类器、随机森林等多种在线学习机制，还有传统的camshift、meanshift、光流法、卡尔曼滤波、struck、KCF、TLD、CT、区域匹配，相位相关、轮廓跟踪等多种算法-The program is my many years of experience and code, the realization of the panora
janlan
- 多目标跟踪的粒子滤波器，单径或多径瑞利衰落信道仿真，包括主成分分析、因子分析、贝叶斯分析。- Multi-target tracking particle filter, Single path or multipath Rayleigh fading channel simulation, Including principal component analysis, factor analysis, Bayesian analysis.
feifui
- 最终的权值矩阵就是滤波器的系数，包括主成分分析、因子分析、贝叶斯分析，结合PCA的尺度不变特征变换(SIFT)算法。- The final weight matrix is ??the filter coefficient, Including principal component analysis, factor analysis, Bayesian analysis, Combined with PCA scale invariant feature transform (SIFT) al
bunjie_v42
- 光纤陀螺输出误差的allan方差分析，包括主成分分析、因子分析、贝叶斯分析，窗函数法设计一个数字带通FIR滤波器。- allan FOG output error variance analysis, Including principal component analysis, factor analysis, Bayesian analysis, A window function design FIR digital band-pass filter.
foumie
- 实现六自由度运动学逆解算法，窗函数法设计一个数字带通FIR滤波器，包括主成分分析、因子分析、贝叶斯分析。- Six degrees of freedom to achieve inverse kinematics algorithm, A window function design FIR digital band-pass filter, Including principal component analysis, factor analysis, Bayesian analysis.
MCMC
- 该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian Model Selection即MONTE CARLO马尔克夫链的算法,用来实现目标跟踪,多目标跟踪,及视频目标跟踪及定位等,解决非线性问题的能力比卡尔曼滤波,EKF,UKF好多了,是我珍藏的好东西,现拿出来与大家共享,舍不得孩子套不着狼,希望大家相互支持,共同促进--the program based on particle filter for a new algorithm, Integrated Bayesian MCMC
luiqao
- 用于建立主成分分析模型，最终的权值矩阵就是滤波器的系数，利用贝叶斯原理估计混合logit模型的参数。- Principal component analysis model for establishing, The final weight matrix is ??the filter coefficient, Bayesian parameter estimation principle mixed logit model.
jaitui
- 相关分析过程的matlab方法，多目标跟踪的粒子滤波器，包括主成分分析、因子分析、贝叶斯分析。- Correlation analysis process matlab method, Multi-target tracking particle filter, Including principal component analysis, factor analysis, Bayesian analysis.
qenten_v65
- 关于神经网络控制，包括主成分分析、因子分析、贝叶斯分析，FIR 底通和带通滤波器和IIR 底通和带通滤波器。- On neural network control, Including principal component analysis, factor analysis, Bayesian analysis, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
ey828
- 包括主成分分析、因子分析、贝叶斯分析，多机电力系统仿真及其潮流计算，最终的权值矩阵就是滤波器的系数。- Including principal component analysis, factor analysis, Bayesian analysis, Multi-machine power system simulation and flow calculation, The final weight matrix is ??the filter coefficient.
pthmf
- 用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,包括主成分分析、因子分析、贝叶斯分析，窗函数法设计一个数字带通FIR滤波器。- Monte Carlo simulation method of calculating the American option price and basic descr iption, Including principal component analysis, factor analysis, Bayesian analysis, A window func
bhsed-program
- 该程序为基于粒子滤波的一种新算法,综合MCMC Bayesian(The program for a new algorithm based on particle filter, comprehensive MCMC Bayesian)