Dr. Erik Thordsen

 Erik Thordsen
Erik Thordsen
erik thordsen () tu-dortmund de

PhD graduate (2025), who worked on analyzing intrinsic dimensionality of data.

Publication list

2025

Camilla Birch Okkels, Erik Thordsen, Martin Aumüller, Arthur Zimek and Erich Schubert.
Approximate Single-Linkage Clustering Using Graph-Based Indexes: MST-Based Approaches and Incremental Searchers
In: Proceedings of the 18th International Conference on Similarity Search and Applications (SISAP), Reykjavik, Iceland, 233-247, 2025. best paper award.
[DOI: 10.1007/978-3-032-06069-3_19] | [BibTeX]
Erik Thordsen and Erich Schubert.
Theoretical and Practical Insights into Graph-Based Indexing
In: Proceedings of the 18th International Conference on Similarity Search and Applications (SISAP), Reykjavik, Iceland, 273-287, 2025. best paper award.
[DOI: 10.1007/978-3-032-06069-3_22] | [BibTeX]
Erik Thordsen and Erich Schubert.
An Alternating Optimization Scheme for Binary Sketches
In: Inf. Syst. 133, 102563, 2025.
[DOI: 10.1016/J.IS.2025.102563] | [BibTeX]

2024

Erik Thordsen and Erich Schubert.
Grouping Sketches to Index High-Dimensional Data in a Resource-Limited Setting
In: Proceedings of the 17th International Conference on Similarity Search and Applications (SISAP), Providence, RI, USA, 274-282, 2024.
[DOI: 10.1007/978-3-031-75823-2_23] | [BibTeX]
Erik Thordsen and Erich Schubert.
Explicit Formulae to Interchangeably use Hyperplanes and Hyperballs using Inversive Geometry
In: CoRR abs/2405.18401, 2024.
[DOI: 10.48550/ARXIV.2405.18401] | [BibTeX]

2023

Erik Thordsen and Erich Schubert.
An Alternating Optimization Scheme for Binary Sketches for Cosine Similarity Search
In: Proceedings of the 16th International Conference on Similarity Search and Applications (SISAP), A Coruña, Spain, 41-55, 2023. best student paper award + best paper award.
[DOI: 10.1007/978-3-031-46994-7_4] | [BibTeX]

2022

Erik Thordsen and Erich Schubert.
On Projections to Linear Subspaces
In: Similarity Search and Applications - 15th International Conference, SISAP 2022, Bologna, Italy, October 5-7, 2022, Proceedings, 75-88, 2022.
[DOI: 10.1007/978-3-031-17849-8_7] | [Preprint (arXiv)] | [BibTeX]
Erik Thordsen and Erich Schubert.
ABID: Angle Based Intrinsic Dimensionality - Theory and analysis
In: Inf. Syst. 108, 101989, 2022.
[DOI: 10.1016/J.IS.2022.101989] | [BibTeX]

2021

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, 232-246, 2021.
[DOI: 10.1007/978-3-030-89657-7_18] | [Preprint (arXiv)] | [BibTeX]
Erik Thordsen and Erich Schubert.
CANDLE: Classification And Noise Detection With Local Embedding Approximations
In: Proceedings of the LWDA 2021 Workshops: FGWM, KDML, FGWI-BIA, and FGIR, Online, September 1-3, 2021, 219-231, 2021.
[open access (CEUR-WS)] | [BibTeX]

2020

Erik Thordsen and Erich Schubert.
ABID: Angle Based Intrinsic Dimensionality
In: Similarity Search and Applications - 13th International Conference, SISAP 2020, Copenhagen, Denmark, September 30 - October 2, 2020, Proceedings, 218-232, 2020.
[DOI: 10.1007/978-3-030-60936-8_17] | [Preprint (arXiv)] | [BibTeX]