A feature selection method for multivariate performance measures

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...

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Bibliographic Details
Main Authors: Mao, Qi, Tsang, Ivor Wai-Hung
Other Authors: School of Computer Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/100979
http://hdl.handle.net/10220/16693