DocumentCode
436598
Title
Supervised independent component analysis by maximizing relative entropy
Author
Yaping Huang ; Luo, Siwci ; Qi, Yingjian
Author_Institution
Dept. of Comput. Sci. & Technol., Beijing Jiao Tong Univ., China
Volume
2
fYear
2004
fDate
31 Aug.-4 Sept. 2004
Firstpage
1593
Abstract
This paper presents a novel algorithm called SICA-MRE (supervised independent component analysis by maximizing relative entropy). It removes the disadvantage in traditional ICA, which ignores the contributions of independent components to recognition performance. Experimental results in face and iris recognition show that the presented algorithm has better performance.
Keywords
entropy; eye; face recognition; independent component analysis; learning (artificial intelligence); face recognition; iris recognition; maximizing relative entropy; supervised independent component analysis; Biomedical computing; Biomedical signal processing; Blind source separation; Entropy; Face recognition; Independent component analysis; Iris; Signal analysis; Statistical analysis; Virtual colonoscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN
0-7803-8406-7
Type
conf
DOI
10.1109/ICOSP.2004.1441635
Filename
1441635
Link To Document