A unified algorithm for principal and minor components extraction

Sequential Extraction of Minor Components

Neural Processing Letters

Gradient Adaptive Algorithms for Contrast-Based Blind Deconvolution

Journal of VLSI Signal Processing Systems

On a Class of Orthonormal Algorithms for Principal and Minor Subspace Tracking

Journal of VLSI Signal Processing Systems

Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications

ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I

Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution

Journal of VLSI Signal Processing Systems

Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay

Neural Computation

A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold

Neural Computation

An adaptive constraint method for paraunitary filter banks with applications to spatiotemporal subspace tracking

EURASIP Journal on Applied Signal Processing

A unified learning algorithm to extract principal and minor components

Digital Signal Processing

Analysis of Time Series Novelty Detection Strategies for Synthetic and Real Data

Neural Processing Letters

Projected gradient approach to the numerical solution of the SCoTLASS

Computational Statistics & Data Analysis

Letter: Global convergence analysis of a self-stabilizing MCA learning algorithm

Neurocomputing

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

Sequential extraction algorithm for BSS without error accumulation

ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II

Fast adaptive algorithms for minor component analysis using Householder transformation

Digital Signal Processing

Classification of surimi gel strength patterns using backpropagation neural network and principal component analysis

ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I

Efficient parallel computation of the stochastic MV-PURE estimator by the hybrid steepest descent method

ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II

Incremental slow feature analysis: Adaptive low-complexity slow feature updating from high-dimensional input streams

Neural Computation

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