Towards ultrahigh dimensional feature selection for big data

• Main Authors: Tan, Mingkui, Tsang, Ivor W., Wang, Li
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering::Data
• Online Access: https://hdl.handle.net/10356/105805; http://hdl.handle.net/10220/20902; http://www.jmlr.org/papers/v15/tan14a.html
• Institution: Nanyang Technological University

In this paper, we present a new adaptive feature scaling scheme for ultrahigh-dimensional feature selection on Big Data, and then reformulate it as a convex semi-infinite programming (SIP) problem. To address the SIP, we propose an eficient feature generating paradigm. Different from traditional gra...