Optimal Fisher discriminant analysis using the rank decomposition
Pattern Recognition
Digital neural networks
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FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Generalized Oja's Rule for Linear Discriminant Analysis with Fisher Criterion
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Pattern Classification (2nd Edition)
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IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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Incremental linear discriminant analysis for classification of data streams
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A symmetric linear neural network that learns principal components and their variances
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Self-organizing algorithms for generalized eigen-decomposition
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Artificial neural networks for feature extraction and multivariate data projection
IEEE Transactions on Neural Networks
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In this paper, we analyze matrix dynamics for online linear discriminant analysis (online LDA). Convergence of the dynamics have been studied for nonsingular cases; our main contribution is an analysis of singular cases, that is a key for efficient calculation without full-size square matrices. All fixed points of the dynamics are identified and their stability is examined.