Writing Modules for Multiple Kernel Versions

MULTIPLE KERNEL LEARNING FOR DIMENSIONALITY REDUCTION

多特征融合的分类方法,主要实现多核函数的分类归纳从而比较单核函数下特征描述不足(The classification method of multiple feature fusion mainly realizes the classification and induction of multi kernel functions, thus comparing the feature descr iption of single kernel function)

多核学习+SMO算法的代码实现，包括java版本、python版本和C++版本(Multiple Kernel Learning and the SMO Algorithm)