A feature selection method for multivariate performance measures

• Main Authors: Mao, Qi, Tsang, Ivor Wai-Hung
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/100979; http://hdl.handle.net/10220/16693
• Institution: Nanyang Technological University

Feature selection with specific multivariate performance measures is the key to the success of many applications such as image retrieval and text classification. The existing feature selection methods are usually designed for classification error. In this paper, we propose a generalized sparse regul...