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Nichtnegative Matrixfaktorisierung (German Wikipedia)

Analysis of information sources in references of the Wikipedia article "Nichtnegative Matrixfaktorisierung" in German language version.

refsWebsite
Global rank German rank
6doi.org
2nd place
3rd place
4zdb-katalog.de
123rd place
6th place
1nature.com
234th place
203rd place
1wiley.com
222nd place
272nd place
1ieee.org
652nd place
864th place
1springer.com
274th place
152nd place
1sciencedirect.com
149th place
298th place

doi.org

  • Daniel D. Lee, H. Sebastian Seung: Learning the parts of objects by non-negative matrix factorization. In: Nature. Band 401, Nr. 6755, Oktober 1999, ISSN 1476-4687, S. 788–791, doi:10.1038/44565 (nature.com [abgerufen am 13. November 2022]).
  • Pentti Paatero, Unto Tapper: Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values. In: Environmetrics. Band 5, Nr. 2, Juni 1994, S. 111–126, doi:10.1002/env.3170050203 (wiley.com [abgerufen am 13. November 2022]).
  • C.H.Q. Ding, Tao Li, M.I. Jordan: Convex and Semi-Nonnegative Matrix Factorizations. In: IEEE Transactions on Pattern Analysis and Machine Intelligence. Band 32, Nr. 1, Januar 2010, ISSN 0162-8828, S. 45–55, doi:10.1109/TPAMI.2008.277 (ieee.org [abgerufen am 13. November 2022]).
  • Paris Smaragdis: Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs. In: Independent Component Analysis and Blind Signal Separation. Band 3195. Springer Berlin Heidelberg, Berlin, Heidelberg 2004, ISBN 3-540-23056-4, S. 494–499, doi:10.1007/978-3-540-30110-3_63 (springer.com [abgerufen am 13. November 2022]).
  • Masashi Kondo, Kenta Kobayashi, Masamichi Ohkura, Junichi Nakai, Masanori Matsuzaki: Two-photon calcium imaging of the medial prefrontal cortex and hippocampus without cortical invasion. In: eLife. Band 6, 25. September 2017, ISSN 2050-084X, S. e26839, doi:10.7554/eLife.26839.
  • Michael W. Berry, Murray Browne, Amy N. Langville, V. Paul Pauca, Robert J. Plemmons: Algorithms and applications for approximate nonnegative matrix factorization. In: Computational Statistics & Data Analysis. Band 52, Nr. 1, 15. September 2007, ISSN 0167-9473, S. 155–173, doi:10.1016/j.csda.2006.11.006 (sciencedirect.com [abgerufen am 13. November 2022]).

ieee.org

ieeexplore.ieee.org

  • C.H.Q. Ding, Tao Li, M.I. Jordan: Convex and Semi-Nonnegative Matrix Factorizations. In: IEEE Transactions on Pattern Analysis and Machine Intelligence. Band 32, Nr. 1, Januar 2010, ISSN 0162-8828, S. 45–55, doi:10.1109/TPAMI.2008.277 (ieee.org [abgerufen am 13. November 2022]).

nature.com

  • Daniel D. Lee, H. Sebastian Seung: Learning the parts of objects by non-negative matrix factorization. In: Nature. Band 401, Nr. 6755, Oktober 1999, ISSN 1476-4687, S. 788–791, doi:10.1038/44565 (nature.com [abgerufen am 13. November 2022]).

sciencedirect.com

  • Michael W. Berry, Murray Browne, Amy N. Langville, V. Paul Pauca, Robert J. Plemmons: Algorithms and applications for approximate nonnegative matrix factorization. In: Computational Statistics & Data Analysis. Band 52, Nr. 1, 15. September 2007, ISSN 0167-9473, S. 155–173, doi:10.1016/j.csda.2006.11.006 (sciencedirect.com [abgerufen am 13. November 2022]).

springer.com

link.springer.com

  • Paris Smaragdis: Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs. In: Independent Component Analysis and Blind Signal Separation. Band 3195. Springer Berlin Heidelberg, Berlin, Heidelberg 2004, ISBN 3-540-23056-4, S. 494–499, doi:10.1007/978-3-540-30110-3_63 (springer.com [abgerufen am 13. November 2022]).

wiley.com

onlinelibrary.wiley.com

  • Pentti Paatero, Unto Tapper: Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values. In: Environmetrics. Band 5, Nr. 2, Juni 1994, S. 111–126, doi:10.1002/env.3170050203 (wiley.com [abgerufen am 13. November 2022]).

zdb-katalog.de

  • Daniel D. Lee, H. Sebastian Seung: Learning the parts of objects by non-negative matrix factorization. In: Nature. Band 401, Nr. 6755, Oktober 1999, ISSN 1476-4687, S. 788–791, doi:10.1038/44565 (nature.com [abgerufen am 13. November 2022]).
  • C.H.Q. Ding, Tao Li, M.I. Jordan: Convex and Semi-Nonnegative Matrix Factorizations. In: IEEE Transactions on Pattern Analysis and Machine Intelligence. Band 32, Nr. 1, Januar 2010, ISSN 0162-8828, S. 45–55, doi:10.1109/TPAMI.2008.277 (ieee.org [abgerufen am 13. November 2022]).
  • Masashi Kondo, Kenta Kobayashi, Masamichi Ohkura, Junichi Nakai, Masanori Matsuzaki: Two-photon calcium imaging of the medial prefrontal cortex and hippocampus without cortical invasion. In: eLife. Band 6, 25. September 2017, ISSN 2050-084X, S. e26839, doi:10.7554/eLife.26839.
  • Michael W. Berry, Murray Browne, Amy N. Langville, V. Paul Pauca, Robert J. Plemmons: Algorithms and applications for approximate nonnegative matrix factorization. In: Computational Statistics & Data Analysis. Band 52, Nr. 1, 15. September 2007, ISSN 0167-9473, S. 155–173, doi:10.1016/j.csda.2006.11.006 (sciencedirect.com [abgerufen am 13. November 2022]).