Semi-supervised dimension reduction using trace ratio criterion

• Main Authors: Huang, Yi, Xu, Dong, Nie, Feiping
• 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/10356/99184; http://hdl.handle.net/10220/13485
• Institution: Nanyang Technological University

In this brief, we address the trace ratio (TR) problem for semi-supervised dimension reduction. We first reformulate the objective function of the recent work semi-supervised discriminant analysis (SDA) in a TR form. We also observe that in SDA the low-dimensional data representation F is constraine...