DocumentCode
353266
Title
Convergence analysis of online linear discriminant analysis
Author
Hiraoka, K. ; Yoshizawa, S. ; Hidai, K. ; Hamahira, M. ; Mizoguchi, H. ; Mishima, T.
Author_Institution
Dept. of Inf. & Comput. Sci., Saitama Univ., Urawa, Japan
Volume
3
fYear
2000
fDate
2000
Firstpage
387
Abstract
Convergence of a matrix dynamics for online LDA is analyzed. Especially, stable spurious solutions are pointed out and two schemes to prevent the spurious solutions are proposed. The performance of the algorithm is confirmed by simulations of face identification
Keywords
convergence; matrix algebra; neural nets; pattern classification; convergence analysis; face identification; matrix dynamics; neural nets; online linear discriminant analysis; stable spurious solutions; Algorithm design and analysis; Analytical models; Computational modeling; Convergence; Covariance matrix; Eigenvalues and eigenfunctions; Image recognition; Linear discriminant analysis; Principal component analysis; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.861335
Filename
861335
Link To Document