Keywords

Principal component analysisNonlinear systemPattern recognition (psychology)Representation (politics)Subspace topologyArtificial intelligenceIndependent component analysisComputer scienceAlgorithmMathematicsNoise (video)Feature (linguistics)Component (thermodynamics)

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Publication Info

Year
1994
Type
article
Volume
7
Issue
1
Pages
113-127
Citations
371
Access
Closed

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Juha Karhunen, J. Joutsensalo (1994). Representation and separation of signals using nonlinear PCA type learning. Neural Networks , 7 (1) , 113-127. https://doi.org/10.1016/0893-6080(94)90060-4

Identifiers

DOI
10.1016/0893-6080(94)90060-4