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Outlier Detection for Trajectories via Flow-embeddings
; ;
2021
Online
DOI: 10.48550/ARXIV.2111.13235
Einrichtungen
Projekte
- SDS005 - Towards an integrated data science of complex natural systems (PF-JARA-SDS005) (PF-JARA-SDS005)
- PF-JARA-SDS008 - Deep Image Data Analysis for Precision Medical Imaging (EXS-PF-JARA-SDS008) (EXS-PF-JARA-SDS008)
- ERS Prep Fund - Exploratory Research Space: Prep Fund als Anschubfinanzierung zur Schließung strategischer Lücken (EXS-PF) (EXS-PF)
Inhaltliche Beschreibung (Schlagwörter)
Algebraic Topology (math.AT) (Genormte SW) ; Applications (stat.AP) (Genormte SW) ; FOS: Computer and information sciences (Genormte SW) ; FOS: Mathematics (Genormte SW) ; FOS: Physical sciences (Genormte SW) ; Machine Learning (stat.ML) (Genormte SW) ; Physics and Society (physics.soc-ph) (Genormte SW) ; Social and Information Networks (cs.SI) (Genormte SW)
External link: 
Fulltext by arXiv.org
Dokumenttyp
Preprint
Format
online
Sprache
English
Externe Identnummern
arXiv: arXiv:2111.13235
Interne Identnummern
RWTH-2023-09828
Datensatz-ID: 971831
Beteiligte Länder
Germany
Related:
Contribution to a book/Contribution to a conference proceedings
Outlier Detection for Trajectories via Flow-embeddings
Conference record of the Fifty-Fifth Asilomar Conference on Signals, Systems & Computers : October 31-November 3, 2021, Pacific Grove, California / edited by: Michael B. Matthews (Northrop Grumman Innovation Systems) ; technical co-sponsor: the IEEE Signal Processing Society
55. Asilomar Conference on Signals, Systems, and Computers, ACSSC 2021, onlineonline, 31 Oct 2021 - 3 Nov 2021
Piscataway, NJ : IEEE 1568-1572 (2021) [10.1109/IEEECONF53345.2021.9723128]
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Fulltext by arXiv.org