Chapter_13

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.

traveling sales man Genetic algorithm by matlab

Haar+AdaBoost分类器训练总结(Haar+ AdaBoost classifier training summary)

此段代码实现了一个点机器人的避碰功能，具有良好的实现界面。(This code implements collision avoidance function of point robot , and there s a good interface.)

histogram eq mods a 3 approaches with using histeq

混沌分析工具箱，里面有很多有用的软件。希望对大家有帮助(Chaotic Analysis Toolbox)

IEEE1394的相关介绍，是1394入门的首选！强烈推荐朋友们(IEEE1394 relevant, the portal is the first choice for 1394! Strongly recommend friends to s)

扩展卡尔曼滤波，适用于弱非线性高斯滤波.较为简单(Extended Kalman filter, suitable for weakly nonlinear Gaussian filter)

交互多模型 用于解决机动目标跟踪 问题(IMM for maneuvering target tracking problem solving)

三电平并网变流器控制的仿真模型，包含中点电位及发波(Three level grid connected converter)