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Email:
erik.thordsen
![]() Phone: 0231/755-8255 Fax: 0231/755-5105 Room-No.: OH14 R335 |
Thordsen/Schubert/2022a |
Erik Thordsen and Erich Schubert.
ABID: Angle Based Intrinsic Dimensionality -- Theory and Analysis.
In
Information Systems,
Vol. 108,
pages 101989,
2022.
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Thordsen/Schubert/2022b |
Erik Thordsen and Erich Schubert.
On Projections to Linear Subspaces.
In
Similarity Search and Applications, SISAP,
2022.
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Thordsen/Schubert/2021a |
Erik Thordsen and Erich Schubert.
CANDLE: Classification And Noise Detection With Local Embedding Approximations.
In
Thomas Seidl and Michael Fromm and Sandra Obermeier (editors),
Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, Online, September 1-3, 2021,
Vol. 2993,
pages 219--231,
CEUR-WS.org,
2021.
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Thordsen/Schubert/2021b |
Erik Thordsen and Erich Schubert.
MESS: Manifold Embedding Motivated Super Sampling.
In
Similarity Search and Applications - 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings,
Vol. 13058,
pages 232--246,
Springer,
2021.
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Droschinsky/etal/2020a |
Andre Droschinsky and Petra Mutzel and Erik Thordsen.
Shrinking Trees not Blossoms: A Recursive Maximum Matching Approach.
In
Guy E. Blelloch and Irene Finocchi (editors),
Proceedings of the Symposium on Algorithm Engineering and Experiments, ALENEX 2020, Salt Lake City, UT, USA, January 5-6, 2020,
pages 146--160,
SIAM,
2020.
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Thordsen/Schubert/2020a |
Erik Thordsen and Erich Schubert.
ABID: Angle Based Intrinsic Dimensionality.
In
Proceedings of the 13th International Conference on Similarity Search and Applications SISAP 2020, Copenhagen, Denmark,
pages 218--232,
2020.
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