fusefenge

功能强大的matlab写的bayes分类器(Powerful matlab write Bayes classifier)

this a very importantt tool to campare two couple of souds for example and can be used for a dissemblance test

Matlab indentification

ELM 极限学习机的核函数 MATLAB程序，用于深入研究和改进极限学习机(Kernel MATLAB program ELM Extreme Learning Machine for further research and improvement Extreme Learning Machine)

二次规划法用拉格朗日方法求解等式约束二次规划和用有效集方法解一般约束二次规划问题(Quadratic Programming Lagrangian method for solving equality constrained quadratic programming and the use of efficient collection method for solving general constrained quadratic programming problems)

匈牙利算法的matlab程序,写得不错,多多支持啊(Hungary algorithm matlab procedures, written well, a lot of support ah)

说明：  计算机视觉的基本任务之一是从摄像机获取的图像信息出发计算三维空间中物体的几何信息，并由此重建和识别物体。这两者之间的关系就是由摄像机的几何成像模型来决定，即由摄像机的参数来决定。实现了张正友和tasi的matlab标定程序！(The basic tasks of computer vision is one of the images from the camera to obtain information from the calculation of three-dimensional geometric information of objects, and thus the reconstruction and object recognition. The relations between the two is by the camera model to determine the imaging geometry, that is to determine the parameters of the camera. Zhang is achieved and the Friends of the matlab calibration procedures tasi! )

LBP算法MATLAB实现,3个m文件。getmapping，LBP，lbptest。(LBP algorithm based on MATLAB implementation, 3 m documents. getmapping, LBP, lbptest.)

最小均方误差（MMSE）的算法，包括随机梯度算法，相对梯度算法，包括最小二乘法、SVM、神经网络、1_k近邻法,本程序的性能已经达到较高水平，外文资料里面的源代码，感应双馈发电机系统的仿真，时间序列数据分析中的梅林变换工具，实现了对10个数字音的识别程。( Minimum mean square error (MMSE) algorithm, Including stochastic gradient algorithm, the relative gradient algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, The performance of the program has reached a high level, Foreign materials inside the source code, Simulation of doubly fed induction generator system, Time series data analysis Mellin transform tool, Realization of 10 digital audio recognition progra.)

k-means 源代码 k-means is a very useful hierarchical clustering in meachine learning (k-means is a very useful hierarchical clustering in meachine learning )