Modified Hebbian learning for curve and surface fitting

Original Contribution: Principal components, minor components, and linear neural networks

Neural Networks

Original Contribution: Least mean square error reconstruction principle for self-organizing neural-nets

Neural Networks

A Neural Network for PCA and Beyond

Neural Processing Letters

Sequential Extraction of Minor Components

Neural Processing Letters

Model-based registration of front- and backviews of rotationally symmetric objects

Computer Vision and Image Understanding - Registration and fusion of range images

A Dynamics of the Hough Transform and Artifical Neural Networks

MLDM '99 Proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition

PCA-Based Model Selection and Fitting for Linear Manifolds

MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition

On Registering Front- and Backviews of Rotationally Symmetric Objects

CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns

Neural learning by geometric integration of reduced 'rigid-body' equations

Journal of Computational and Applied Mathematics

Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay

Neural Computation

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

Neural Computation

Recursive total instrumental-variable algorithm for solving over-determined normal equations and its applications

Signal Processing

A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving

Pattern Recognition

Convergence analysis of the OJAn MCA learning algorithm by the deterministic discrete time method

Theoretical Computer Science

Convergence analysis of a simple minor component analysis algorithm

Neural Networks

Letters: A neural networks learning algorithm for minor component analysis and its convergence analysis

Neurocomputing

A stable MCA learning algorithm

Computers & Mathematics with Applications

Stability and Chaos of a Class of Learning Algorithms for ICA Neural Networks

Neural Processing Letters

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

Neurocomputing

Descent methods for optimization on homogeneous manifolds

Mathematics and Computers in Simulation

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

DMCS: Dual-Model Classification System and Its Application in Medicine

AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence

Convergence Analysis of Non-Negative Matrix Factorization for BSS Algorithm

Neural Processing Letters

Notes on "Recurrent neural network model for computing largest and smallest generalized eigenvalue"

Neurocomputing

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

Neurocomputing

Uncontrolled face recognition by individual stable neural network

PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence

A family of fuzzy learning algorithms for robust principal component analysis neural networks

IEEE Transactions on Fuzzy Systems

Mutual interdependence analysis (MIA)

ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation

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

Another neural network based approach for computing eigenvalues and eigenvectors of real skew-symmetric matrices

Computers & Mathematics with Applications

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

Theoretical Computer Science

On estimating the position of fragments on rotational symmetric pottery

3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling

Robust hyperplane fitting based on k-th power deviation and α-quantile

CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I

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

Dynamical system for computing largest generalized eigenvalue

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

TTLSC – transductive total least square model for classification and its application in medicine

ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications

On the discrete time dynamics of a self-stabilizing MCA learning algorithm

Mathematical and Computer Modelling: An International Journal

Multistability of α-divergence based NMF algorithms

Computers & Mathematics with Applications

A unified convergence analysis of Normalized PAST algorithms for estimating principal and minor components

Signal Processing

Virtual vessel reconstruction from a fragment''s profile

VAST'03 Proceedings of the 4th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage

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

Neural Computation

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

Neural Networks

Convergence analysis for feng's MCA neural network learning algorithm

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