Adaboost

Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.

人体三维数据处理方法，运用点到点的距离，进行精简(Distance the body three-dimensional data processing method, the use of point-to streamline)

住房贷款问题Mathematica ，matlab解决(Housing loans Mathematica, matlab solution)

James H. Stapleton - Models for Probability and Statistical Inference - Theory and Applications

there are some clustering codes of matlab.

Stack Map Frame Visitor Source Code for Andriod.

This matlab code performs the Arimoto-Blahut algorithm to calculate the capacity of a channel in information theory.

C++ implementation of Local Self Similarity. shi xian tu xiang de rong

关于单载波频域均衡的研究，将LMS算法引入SC_FDE系统当中(Equilibrium studies on single-carrier frequency domain, the LMS algorithm is introduced which SC_FDE system)

Lattice Boltzmann Matlab Scripts 2-D Model of Porous Medium Flows