BP(adaboost)

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.)

二次规划程序(Quadratic programming)在matlab的源代码(Quadratic programming codes in matlab)

compressive sensing theory

nonlinear finite element code using matlab

compressed matlab related book

用matlab做的类似画图板一样的工具。运用了GUI编程技术，可以做为学习GUI的参考

火箭升空动画，分为5个阶段，目前先上传一部分代码，后续继续(rock up to air flash)

说明：  Text detection technique using canny edge detector

Eigenfaces for Recognition

ABNORMAL CROWD BERAVIOR DETECTION USING BERAVIOR ENTROPY MODEL.pdf