Modified Oja's algorithms for principal subspace and minor subspace extraction

A Practical Sequential Method for Principal Component Analysis

Neural Processing Letters

Sequential Extraction of Minor Components

Neural Processing Letters

Fundamental study: A concise functional neural network computing the largest modulus eigenvalues and their corresponding eigenvectors of a real skew matrix

Theoretical Computer Science

Letters: Recurrent neural network model for computing largest and smallest generalized eigenvalue

Neurocomputing

A unified learning algorithm to extract principal and minor components

Digital Signal Processing

Dynamical system for computing largest generalized eigenvalue

ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I

A stable dual purpose adaptive algorithm for subspace tracking on noncompact stiefel manifold

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I