Kernel methods and support vector machines

As the new generation of data analysis methods, kernels methods of which support vector machines are the most influential are extensively studied both in theory and in practice. This article provides a tutorial introduction to the foundations and implementations of kernel methods, well-established kernel methods, computational issues of kernel methods, and recent developments in this field. The aim of this article is to promote the applications and developments of kernel methods through the detailed survey of some important kernel techniques.