A New Multi-class Support Vector Algorithm Based on Privileged Information

摘要

In practice, there is always some privileged information existing in the training samples. In this paper, we propose a new multi-class support vector algorithm based on privileged information. We utilize the privileged information during the training stage and demonstrate the superiority of the new algorithm over the classical learning paradigm when solving practical problems in the experiments.