opticalflow

Discrete Fourier Transform in MATLAB Solution of Problems

this is code for Distance Regularized Level Set Evolution and Its Application to Image Segmentation paper. I used this code and it was correct and have true answers.

这是《Space-Time Codes and MIMO Systems》书中第四章的源程序，包括stbc2x1,2x2,3x1,3x2还有当信道具有相关性时的stbc2x2,4x4等多发多收等的源程序。(This is the "Space-Time Codes and MIMO Systems" source book, Chapter IV, including stbc2x1, 2x2, 3x1, 3x2 as well as when the channel has a relevance stbc2x2, 4x4, etc., etc. overcharged multiple source.)

Matlab教程一，包括多项式、曲线拟合、三次样条等。(Matlab Tutorial 1, including polynomials, curve fitting, cubic spline and so on.)

对初学者非常有用的数学分析的最优化代码，很好用。(it is very useful.)

粒子群参数优化算法子程序，可以实现多个组合参数的优化，采用实数编码。(particle swarm optimization )

在matlab上的Asift程序，在原有基础上有所改进，程序可以出色地实现图像的识别，匹配，效果相比SIFT，SURF等有大幅提高(In matlab Asift program improvements based on the original, the program can achieve excellent image recognition, matching, compared to the effect of SIFT, SURF, etc. have greatly improved)

现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡(The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of)

这个包包括了一个多类代价敏感学习方法Rescalenew。这是一个通用的方法,如instance-weighting, sampling, threshold-moving等。(This package includes a multi-class cost-sensitive learning method Rescalenew. This is a general method which can be realized in many ways such as instance-weighting, sampling, threshold-moving, etc. This package includes five implementations of the method, that is, instance-weighting+C4.5, over-sampling+C4.5, under-sampling+C4.5, threshold-moving+NN and threshold-moving+PETs (probability estimation trees). )

reading Ply format file and exract vertex and face matrix for 3D-Objects