Comments on “Joint Global and Local Structure Discriminant Analysis”
Qiaolin Ye, Jiajia Jing · IEEE Transactions on Information Forensics and Security · 2015
Joint global and local structure discriminant analysis (JGLDA) is a recently-developed linear discriminant analysis approach, which considers the diversity of data across classes. In this communication, however, we will show that the discussion on the characterization of within-class locality and within-class diversity of previous efforts on local linear discriminant analysis (LLDA) and JGLDA is flawed.