Title :
Face recognition with info-margin maximization
Author :
Qiu, Xipeng ; Miao, Youdong ; Wu, Lide
Author_Institution :
Sch. of Comput. Sci., Fudan Univ., Shanghai, China
fDate :
June 28 2009-July 3 2009
Abstract :
We propose face recognition method with info-margin maximization (InfoMargin) from information theoretic viewpoint. It aims to achieve a low generalization error by maximizing the information divergence between the distributions of different classes while minimizing the entropy of the distribution in each single class. Experimental results show that our method outperforms the traditional face recognition methods.
Keywords :
face recognition; maximum entropy methods; entropy minimization; face recognition method; info-margin maximization; information divergence maximization; information theoretic viewpoint; Computational complexity; Computer science; Density measurement; Entropy; Face recognition; Feature extraction; Hydrogen; Information theory; Linear discriminant analysis; Probability; Face Recognition; Info-Margin Maximization;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202681
