articleTop 1% cited
Principal components, minor components, and linear neural networks
Neural Networks · 1992 · Vol. 5(6) · pp. 927–935
Erkki Oja✉(Lappeenranta-Lahti University of Technology)
Neural Networks and ApplicationsBlind Source Separation TechniquesImage and Signal Denoising MethodsSubspace topologyEigenvalues and eigenvectorsArtificial neural networkHebbian theoryPrincipal component analysisMinor (academic)Computer scienceAlgorithmMathematicsCompetitive learning
Citations
818
FWCI
19.43
field-weighted impact
References
41
Percentile
99%
vs. same field & year
Citations per year
Cited by
A Comparison of Pooling Methods for Convolutional Neural Networks
Applied Sciences · 2022 · 316 citations
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks · 1999 · 6,288 citations
Survey of Clustering Algorithms
IEEE Transactions on Neural Networks · 2005 · 6,086 citations
The “independent components” of natural scenes are edge filters
Vision Research · 1997 · 2,262 citations
Statistical pattern recognition: a review
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2000 · 6,719 citations
References
Ordinary Differential Equations.
American Mathematical Monthly · 1971 · 2,223 citations
On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
Journal of Mathematical Analysis and Applications · 1985 · 535 citations
Neural networks and principal component analysis: Learning from examples without local minima
Neural Networks · 1989 · 1,378 citations
MPEG
Communications of the ACM · 1991 · 2,009 citations
Optimal unsupervised learning in a single-layer linear feedforward neural network
Neural Networks · 1989 · 1,518 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.