A Novel Matrix Norm Based Gaussian Kernel for Feature Extraction of Images
Jun-Bao Li, Shu‐Chuan Chu, Jeng‐Shyang Pan, Jiun-Huei Ho · Information Hiding · 2006
Gaussian kernel is widely used in Support Vector Machines and many other kernel methods, and it is most often deemed to provide a local measure of similarity between vectors, which causes large storage requirements and large computational effort for transforming images to vectors owing to its viewing images as vectors. A novel matrix norm based Gaussian kernel (M-Gaussian kernel) which views images as matrices is proposed to solve the problem. Experiments conducted on ORL face database show the effectiveness of the proposed M-Gaussian kernel.