Global_Optimization_Toolbox30_win32

It is an algorithm of knn.

cosine transform and wavelet transform

考虑到传统的多示例多标签框架忽略了标签相关性，或者是将标签相关性作为全局概念知识加以利用，我们将局部标签相关性引入到MIML一SVM多示例多标签学习框架中来，得到了一种新的多示例多标签学习算法MIML LC SVM(Taking into account the traditional multi-sample multi-label framework ignores the label correlation or correlation between the label to be used as a global concept of knowledge, we will bow} local label correlation MIML into a multi-instance multi-label SVM learning framework in the past, get a new multi-instance multi-label learning algorithm MIML LC SVM)

利用matlab解方程的程序，可以用过微分方程，提供了集中方法(Using matlab solving equations can be used to differential equations, provides methods)

对图像进行分块，进而对待训练图像进行随机采样(The code randomly sample patches from images)

TS算法求解TSP问题,里面包含样本数据，算法收敛较好，优化结果比较理想！(tabu search for TSP)

希尔伯特黄变换的重构改进算法matlab源程序(Hilbert-Huang Transform Reconstruction Algorithm matlab source)

least square SVM toolbox

迭代加权二范数算法,又称FOUCSS，一种求解基于p范数的压缩感知模型算法(FOCUSS algorithm)

it is about ga pareto