Comments on "globally maximizing, locally minimizing: unsupervised discriminant projection with application to face and palm biometrics".
In [1], UDP is proposed to address the limitation of LPP for the clustering and classification tasks. In this communication, we show that the basic ideas of UDP and LPP are identical. In particular, UDP is just a simplified version of LPP on the assumption that the local density is uniform.
Laboratory of Pattern Recognition and Intelligent System, School of Information Engineering, Beijing University of Posts and Telecommunications, Beijing, China. whdeng@126.com
Weihong
W
Deng
Jiani
J
Hu
Jun
J
Guo
Honggang
H
Zhang
Chuang
C
Zhang
D000465:Algorithms; D001185:Artificial Intelligence; D001699:Biometry / Q000379:methods*; D003198:Computer Simulation; D016002:Discriminant Analysis; D005145:Face / Q000033:anatomy & histology*; D006225:Hand / Q000033:anatomy & histology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity