Excitable-media

FUNCTION FILE DMC VARIABLES

用于空间数据分析中的Kf计算，并坐车相应的图形(Spatial data analysis for the calculation of Kf, and the corresponding graphic car)

past when the sample data was collected, the future predictions can also be expected to be right. Application of machine learning methods to large databases is called data mining. The analogy is that a large volume of earth and raw material is extracted from a mine, which when processed leads to a small amount of very precious material similarly in data mining, a large volume of data is processed to construct a simple model with valuable use, for example

用于对全景镜头进行标定，能求解出图像上对应点的世界坐标的方向向量(The OcamCalib Toolbox for Matlab allows the user (also inexpert users) to calibrate any central omnidirectional camera, that is, any panoramic camera having a single effective viewpoint (see section 17). The Toolbox implements the procedure initially described in the paper(Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Flexible Technique for Accurate Omnidirectional Camera Calibration and Structure from Motion", Proceedings of IEEE International Conference of Vision Systems (ICVS 06), New York, January 5-7, 2006.) and later extended in (Scaramuzza, D., Martinelli, A. and Siegwart, R., (2006). "A Toolbox for Easy Calibrating Omnidirectional Cameras", Proceedings to IEEE International Conference on Intelligent Robots and Systems (IROS 2006), Beijing China, October 7-15, 2006. ). A detailed introduction to this model is in section 19 of this Tutorial. Furthermore, you can also see a demo of how the toolbox works here. The Toolbox permits the user to easily and quickly cal)

files to teach you about image processing using Matlab

LBP for the facial feachers

smcdemo1 for Bayesian Model Selection

四自由度悬架的建模及自由振动频率求法、半波输入响应、受迫振动响应、频响函数响应、自由振动响应(Modeling and four degrees of freedom suspension method for finding free vibration frequency, half-wave input response, forced vibration response, frequency response function response, free vibration response)

Transcoder implementation

说明：  遗传算法，粒子群算法，蚁群算法，人工鱼群算法，BP神经网络，支持向量机等算法案例分析及源码(Genetic algorithm, particle swarm optimization, ant colony algorithm, artificial fish swarm algorithm, BP neural network, support vector machine and other algorithm case analysis and source code)