Convergence Analysis of Online Linear Discriminant Analysis

Authors:
H. Mizoguchi
Affiliations:
-
Venue:
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3 - Volume 3
Year:
2000

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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. Simulations of face identification confirm the performance of the algorithm.