Adaptive dimensionality reduction for neural network-based online principal component analysis
N. Migenda, R. Möller, W. Schenck, PLOS ONE 16 (2021).
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PLOS ONE
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16
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3
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e0248896
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Migenda, Nico ; Möller, Ralf ; Schenck, Wolfram: Adaptive dimensionality reduction for neural network-based online principal component analysis. In: PLOS ONE Bd. 16, Public Library of Science (PLoS) (2021), Nr. 3
Migenda N, Möller R, Schenck W. Adaptive dimensionality reduction for neural network-based online principal component analysis. PLOS ONE. 2021;16(3). doi:10.1371/journal.pone.0248896
Migenda, N., Möller, R., & Schenck, W. (2021). Adaptive dimensionality reduction for neural network-based online principal component analysis. PLOS ONE, 16(3). https://doi.org/10.1371/journal.pone.0248896
@article{Migenda_Möller_Schenck_2021, title={Adaptive dimensionality reduction for neural network-based online principal component analysis}, volume={16}, DOI={10.1371/journal.pone.0248896}, number={3e0248896}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Migenda, Nico and Möller, Ralf and Schenck, Wolfram}, year={2021} }
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Dimensionality Reduction for Neural Network-Based Online Principal Component Analysis.” PLOS ONE 16, no. 3 (2021). https://doi.org/10.1371/journal.pone.0248896.
N. Migenda, R. Möller, and W. Schenck, “Adaptive dimensionality reduction for neural network-based online principal component analysis,” PLOS ONE, vol. 16, no. 3, 2021.
Migenda, Nico, et al. “Adaptive Dimensionality Reduction for Neural Network-Based Online Principal Component Analysis.” PLOS ONE, vol. 16, no. 3, e0248896, Public Library of Science (PLoS), 2021, doi:10.1371/journal.pone.0248896.
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