A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kern

医学图像配准，医学图像2D_3D配准，基于vc++开发。-This paper introduces a new method of registering point sets. The registration error is directly minimized using general-purpose nonlinear optimization (the Levenberg-Marquardt algorithm). The surprising conclusion of

粒子群优化寻找最适合的核函数和惩罚因子，为了更好的进行故障分类判断-Particle swarm optimization to find the most suitable kernel function and penalty factor, in order to judge the fault classification

包含完整的SVM算法，下载即可使用。其中包括数据集和完整的算法结构，算法结构包括数据清理、核函数升维以及SMO优化算法，可以较好实现数据非线性分类。(Contains the complete SVM algorithm and download it for use. Including the data set and the complete algorithm structure, the algorithm structure includes data cleaning, kerne