Adaptive algorithms for first principal eigenvector computation
Neural Networks
Theoretical Computer Science
Global Convergence of a PCA Learning Algorithm with a Constant Learning Rate
Computers & Mathematics with Applications
A unified learning algorithm to extract principal and minor components
Digital Signal Processing
A Self-Stabilizing Neural Algorithm for Total Least Squares Filtering
Neural Processing Letters
A robust and globally convergent PCA learning algorithm
Control and Intelligent Systems
Linear prediction based blind source extraction algorithms in practical applications
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
A self-stabilizing MSA algorithm in high-dimension data stream
Neural Networks
A modified MCA EXIN algorithm and its convergence analysis
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Robust beamforming by a globally convergent MCA neural network
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
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We investigate the dynamical behavior of some linear neurons devised for the minor component analysis. Contrary to their convergence theorems, our analysis reveals the existence of a divergence in a finite time