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An Incremental Linear Discriminant Analysis Using Fixed Point Method.
- Source :
- Advances in Neural Networks - ISNN 2006; 2006, p1334-1339, 6p
- Publication Year :
- 2006
-
Abstract
- Linear Discriminant Analysis (LDA) is a very powerful method in pattern recognition. But it is difficult to realize online processing for data stream. In this paper, a new adaptive LDA method is proposed. We decompose the online LDA problem into two adaptive PCA problems and develop a fixed point adaptive PCA to implement adaptive LDA. Online updating of in-class scatter matrix Sw(t) and covariance matrix Cx(t) are derived in this paper. Simulation results show that the proposed method has no learning rate, fast convergence and less time-consuming. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540344391
- Database :
- Supplemental Index
- Journal :
- Advances in Neural Networks - ISNN 2006
- Publication Type :
- Book
- Accession number :
- 32883813
- Full Text :
- https://doi.org/10.1007/11759966_198