Principal component neural networks: theory and applications
Principal component neural networks: theory and applications
Neural network for solving generalized eigenvalues of matrix pair
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
Adaptive Principal component EXtraction (APEX) and applications
IEEE Transactions on Signal Processing
On self-organizing algorithms and networks for class-separability features
IEEE Transactions on Neural Networks
Artificial neural networks for feature extraction and multivariate data projection
IEEE Transactions on Neural Networks
Incremental two-dimensional linear discriminant analysis with applications to face recognition
Journal of Network and Computer Applications
Convergence proof of matrix dynamics for online linear discriminant analysis
Journal of Multivariate Analysis
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Online local learning algorithms for a laterally-connected single-layer neural network for performing linear discriminant analysis have been proposed. A convergence proof is provided for the algorithm based on Hebbian learning. The algorithms are simulated and applied to the face recognition problem.