Principal components, minor components, and linear neural networks
- 1 November 1992
- journal article
- Published by Elsevier in Neural Networks
- Vol. 5 (6) , 927-935
- https://doi.org/10.1016/s0893-6080(05)80089-9
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Convergence analysis of local feature extraction algorithmsNeural Networks, 1992
- Modified Hebbian learning for curve and surface fittingNeural Networks, 1992
- MPEGCommunications of the ACM, 1991
- A FAST NEURAL ALGORITHM FOR PRINCIPAL COMPONENT ANALYSIS AND SINGULAR VALUE DECOMPOSITIONInternational Journal of Neural Systems, 1991
- UNSUPERVISED LEARNING PROCEDURES FOR NEURAL NETWORKSInternational Journal of Neural Systems, 1991
- A Self-Organizing Network for Principal-Component AnalysisEurophysics Letters, 1989
- Neural networks and principal component analysis: Learning from examples without local minimaNeural Networks, 1989
- Projection filter, Wiener filter, and Karhunen-Loève subspaces in digital image restorationJournal of Mathematical Analysis and Applications, 1986
- On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrixJournal of Mathematical Analysis and Applications, 1985
- Simplified neuron model as a principal component analyzerJournal of Mathematical Biology, 1982