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
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;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.861335
