Unified stabilization approach to principal and minor components extraction algorithms

Sequential Extraction of Minor Components

Neural Processing Letters

Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay

Neural Computation

Convergence analysis of a simple minor component analysis algorithm

Neural Networks

A stable MCA learning algorithm

Computers & Mathematics with Applications

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

Neurocomputing

Modified Modulated Hebb-Oja Learning Rule: A Method for Biologically Plausible Principal Component Analysis

Neural Information Processing

A geometric newton method for oja's vector field

Neural Computation

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

Probabilistic principal component analysis based on Joystick probability selector

Learning algorithms utilizing quasi-geodesic flows on the Stiefel manifold

Neurocomputing

On the discrete-time dynamics of a class of self-stabilizing MCA extraction algorithms

IEEE Transactions on Neural Networks

A self-stabilizing MSA algorithm in high-dimension data stream

Neural Networks

Adaptive multiple minor directions extraction in parallel using a PCA neural network

Theoretical Computer Science

Convergence proof of matrix dynamics for online linear discriminant analysis

Journal of Multivariate Analysis

Convergence analysis of deterministic discrete time system of a unified self-stabilizing algorithm for PCA and MCA

Neural Networks

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