Integrating multi-features by multiple kernel learning to better classify images

Most recent methods for image classification focus on how to formulate different types of features effectively in a uniform formula. Although these features take on different importance for image classification, most previous work gives the same weight to the features when they are combined. In this paper, we propose an approach to integrate multi-features by following the multiple kernel learning (MKL) framework. By using distinct kernels, we...